This vignette describes the analysis of 26 trials comparing 17 treatments in 4 classes for the prevention of stroke in patients with atrial fibrillation (Cooper et al. 2009). The data are available in this package as atrial_fibrillation
:
head(atrial_fibrillation)
#> studyc studyn trtc trtn trt_class r n E stroke
#> 1 ACTIVE-W 1 Standard adjusted dose anti-coagulant 3 Anti-coagulant 65 3371 4200 0.15
#> 2 ACTIVE-W 1 Low dose aspirin + copidogrel 16 Anti-platelet 106 3335 4180 0.15
#> 3 AFASAK 1 2 Placebo/Standard care 1 Control 19 336 398 0.06
#> 4 AFASAK 1 2 Standard adjusted dose anti-coagulant 3 Anti-coagulant 9 335 413 0.06
#> 5 AFASAK 1 2 Low dose aspirin 5 Anti-platelet 16 336 409 0.06
#> 6 AFASAK 2 3 Standard adjusted dose anti-coagulant 3 Anti-coagulant 11 170 355 0.10
#> year followup
#> 1 2006 1.3
#> 2 2006 1.3
#> 3 1989 1.2
#> 4 1989 1.2
#> 5 1989 1.2
#> 6 1998 2.2
Cooper et al. (2009) used this data to demonstrate meta-regression models, which we recreate here.
Whilst we have data on the patient-years at risk in each study (E
), we ignore this here to follow the analysis of Cooper et al. (2009), instead analysing the number of patients with stroke (r
) out of the total (n
) in each arm. We use the function set_agd_arm()
to set up the network, making sure to specify the treatment classes trt_class
. We remove the WASPO study from the network as both arms had zero events, and this study therefore contributes no information.
af_net <- set_agd_arm(atrial_fibrillation[atrial_fibrillation$studyc != "WASPO", ],
study = studyc,
trt = trtc,
r = r,
n = n,
trt_class = trt_class)
af_net
#> A network with 25 AgD studies (arm-based).
#>
#> ------------------------------------------------------- AgD studies (arm-based) ----
#> Study Treatments
#> ACTIVE-W 2: Standard adjusted dose anti-coagulant | Low dose aspirin + copidogrel
#> AFASAK 1 3: Placebo/Standard care | Standard adjusted dose anti-coagulant | Low dose aspirin
#> AFASAK 2 4: Standard adjusted dose anti-coagulant | Fixed dose warfarin | Medium dose asp...
#> BAATAF 2: Placebo/Standard care | Low adjusted dose anti-coagulant
#> BAFTA 2: Standard adjusted dose anti-coagulant | Low dose aspirin
#> CAFA 2: Placebo/Standard care | Standard adjusted dose anti-coagulant
#> Chinese ATAFS 2: Standard adjusted dose anti-coagulant | Low dose aspirin
#> EAFT 3: Placebo/Standard care | Standard adjusted dose anti-coagulant | Medium dose a...
#> ESPS 2 4: Placebo/Standard care | Low dose aspirin | Dipyridamole | Low dose aspirin + ...
#> JAST 2: Placebo/Standard care | Low dose aspirin
#> ... plus 15 more studies
#>
#> Outcome type: count
#> ------------------------------------------------------------------------------------
#> Total number of treatments: 17, in 4 classes
#> Total number of studies: 25
#> Reference treatment is: Standard adjusted dose anti-coagulant
#> Network is connected
(A better analysis, accounting for differences in the patient-years at risk between studies, can be performed by specifying a rate outcome with r
and E
in set_agd_arm()
above. The following code remains identical.)
Plot the network with the plot()
method:
plot(af_net, weight_nodes = TRUE, weight_edges = TRUE, show_trt_class = TRUE) +
ggplot2::theme(legend.position = "bottom", legend.box = "vertical")
We fit two (random effects) models:
We fit a random effects model using the nma()
function with trt_effects = "random"
. We use \(\mathrm{N}(0, 100^2)\) prior distributions for the treatment effects \(d_k\) and study-specific intercepts \(\mu_j\), and a \(\textrm{half-N}(5^2)\) prior for the heterogeneity standard deviation \(\tau\). We can examine the range of parameter values implied by these prior distributions with the summary()
method:
summary(normal(scale = 100))
#> A Normal prior distribution: location = 0, scale = 100.
#> 50% of the prior density lies between -67.45 and 67.45.
#> 95% of the prior density lies between -196 and 196.
summary(half_normal(scale = 5))
#> A half-Normal prior distribution: location = 0, scale = 5.
#> 50% of the prior density lies between 0 and 3.37.
#> 95% of the prior density lies between 0 and 9.8.
Fitting the model with the nma()
function. We increase the target acceptance rate adapt_delta = 0.99
to minimise divergent transition warnings.
af_fit_1 <- nma(af_net,
trt_effects = "random",
prior_intercept = normal(scale = 100),
prior_trt = normal(scale = 100),
prior_het = half_normal(scale = 5),
adapt_delta = 0.99)
#> Note: Setting "Standard adjusted dose anti-coagulant" as the network reference treatment.
Basic parameter summaries are given by the print()
method:
af_fit_1
#> A random effects NMA with a binomial likelihood (logit link).
#> Inference for Stan model: binomial_1par.
#> 4 chains, each with iter=2000; warmup=1000; thin=1;
#> post-warmup draws per chain=1000, total post-warmup draws=4000.
#>
#> mean se_mean sd 2.5% 25% 50%
#> d[Acenocoumarol] -0.77 0.01 0.81 -2.45 -1.31 -0.75
#> d[Alternate day aspirin] -0.99 0.02 1.38 -4.18 -1.77 -0.83
#> d[Dipyridamole] 0.58 0.01 0.43 -0.32 0.30 0.59
#> d[Fixed dose warfarin] 0.93 0.01 0.40 0.13 0.67 0.93
#> d[Fixed dose warfarin + low dose aspirin] 0.48 0.01 0.44 -0.41 0.20 0.48
#> d[Fixed dose warfarin + medium dose aspirin] 0.89 0.01 0.31 0.25 0.69 0.90
#> d[High dose aspirin] 0.52 0.01 0.76 -1.04 0.02 0.54
#> d[Indobufen] 0.24 0.01 0.44 -0.63 -0.05 0.25
#> d[Low adjusted dose anti-coagulant] -0.29 0.01 0.38 -1.05 -0.54 -0.29
#> d[Low dose aspirin] 0.62 0.00 0.21 0.18 0.48 0.62
#> d[Low dose aspirin + copidogrel] 0.52 0.01 0.34 -0.18 0.31 0.52
#> d[Low dose aspirin + dipyridamole] 0.27 0.01 0.46 -0.63 -0.04 0.27
#> d[Medium dose aspirin] 0.39 0.00 0.20 -0.01 0.28 0.40
#> d[Placebo/Standard care] 0.76 0.01 0.20 0.37 0.64 0.76
#> d[Triflusal] 0.66 0.01 0.61 -0.49 0.26 0.64
#> d[Ximelagatran] -0.09 0.00 0.26 -0.61 -0.25 -0.09
#> lp__ -4771.79 0.21 6.98 -4786.49 -4776.32 -4771.46
#> tau 0.28 0.00 0.13 0.04 0.19 0.27
#> 75% 97.5% n_eff Rhat
#> d[Acenocoumarol] -0.22 0.72 3306 1
#> d[Alternate day aspirin] -0.02 1.19 4115 1
#> d[Dipyridamole] 0.87 1.41 2423 1
#> d[Fixed dose warfarin] 1.20 1.72 3174 1
#> d[Fixed dose warfarin + low dose aspirin] 0.75 1.37 2378 1
#> d[Fixed dose warfarin + medium dose aspirin] 1.09 1.50 3095 1
#> d[High dose aspirin] 1.02 1.96 4029 1
#> d[Indobufen] 0.53 1.13 3297 1
#> d[Low adjusted dose anti-coagulant] -0.04 0.44 3037 1
#> d[Low dose aspirin] 0.75 1.02 1999 1
#> d[Low dose aspirin + copidogrel] 0.72 1.21 3687 1
#> d[Low dose aspirin + dipyridamole] 0.57 1.15 2564 1
#> d[Medium dose aspirin] 0.53 0.75 2473 1
#> d[Placebo/Standard care] 0.89 1.16 1503 1
#> d[Triflusal] 1.05 1.89 3152 1
#> d[Ximelagatran] 0.07 0.42 2846 1
#> lp__ -4767.06 -4758.85 1121 1
#> tau 0.36 0.57 843 1
#>
#> Samples were drawn using NUTS(diag_e) at Tue Jun 23 16:23:13 2020.
#> For each parameter, n_eff is a crude measure of effective sample size,
#> and Rhat is the potential scale reduction factor on split chains (at
#> convergence, Rhat=1).
By default, summaries of the study-specific intercepts \(\mu_j\) and study-specific relative effects \(\delta_{jk}\) are hidden, but could be examined by changing the pars
argument:
The prior and posterior distributions can be compared visually using the plot_prior_posterior()
function:
We can compute relative effects against placebo/standard care with the relative_effects()
function with the trt_ref
argument:
(af_1_releff <- relative_effects(af_fit_1, trt_ref = "Placebo/Standard care"))
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS
#> d[Standard adjusted dose anti-coagulant] -0.76 0.20 -1.16 -0.89 -0.76 -0.64 -0.37 1516
#> d[Acenocoumarol] -1.53 0.83 -3.23 -2.08 -1.50 -0.97 -0.01 3399
#> d[Alternate day aspirin] -1.76 1.37 -4.94 -2.51 -1.61 -0.80 0.41 5333
#> d[Dipyridamole] -0.18 0.41 -1.02 -0.46 -0.17 0.09 0.64 3860
#> d[Fixed dose warfarin] 0.17 0.44 -0.69 -0.12 0.16 0.45 1.04 3281
#> d[Fixed dose warfarin + low dose aspirin] -0.28 0.40 -1.09 -0.53 -0.28 -0.04 0.53 3910
#> d[Fixed dose warfarin + medium dose aspirin] 0.13 0.36 -0.59 -0.11 0.13 0.36 0.84 2904
#> d[High dose aspirin] -0.24 0.76 -1.78 -0.75 -0.23 0.25 1.23 5014
#> d[Indobufen] -0.52 0.49 -1.48 -0.84 -0.51 -0.20 0.47 2788
#> d[Low adjusted dose anti-coagulant] -1.05 0.35 -1.76 -1.29 -1.05 -0.83 -0.38 4670
#> d[Low dose aspirin] -0.14 0.21 -0.59 -0.28 -0.14 0.00 0.25 4376
#> d[Low dose aspirin + copidogrel] -0.25 0.39 -1.03 -0.49 -0.25 0.00 0.54 2794
#> d[Low dose aspirin + dipyridamole] -0.50 0.44 -1.39 -0.78 -0.49 -0.20 0.35 4339
#> d[Medium dose aspirin] -0.37 0.22 -0.82 -0.51 -0.36 -0.23 0.06 3080
#> d[Triflusal] -0.10 0.63 -1.31 -0.53 -0.12 0.32 1.17 3146
#> d[Ximelagatran] -0.85 0.32 -1.51 -1.06 -0.85 -0.65 -0.21 2391
#> Tail_ESS Rhat
#> d[Standard adjusted dose anti-coagulant] 2269 1
#> d[Acenocoumarol] 2824 1
#> d[Alternate day aspirin] 2419 1
#> d[Dipyridamole] 3091 1
#> d[Fixed dose warfarin] 2922 1
#> d[Fixed dose warfarin + low dose aspirin] 2681 1
#> d[Fixed dose warfarin + medium dose aspirin] 2916 1
#> d[High dose aspirin] 2975 1
#> d[Indobufen] 2552 1
#> d[Low adjusted dose anti-coagulant] 3250 1
#> d[Low dose aspirin] 2623 1
#> d[Low dose aspirin + copidogrel] 2581 1
#> d[Low dose aspirin + dipyridamole] 3156 1
#> d[Medium dose aspirin] 3112 1
#> d[Triflusal] 2508 1
#> d[Ximelagatran] 2541 1
These estimates can easily be plotted with the plot()
method:
We can also produce treatment rankings, rank probabilities, and cumulative rank probabilities.
(af_1_ranks <- posterior_ranks(af_fit_1))
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS Tail_ESS
#> rank[Standard adjusted dose anti-coagulant] 5.26 1.40 3 4 5 6 8 2175 2661
#> rank[Acenocoumarol] 3.00 2.99 1 1 2 3 12 3406 2405
#> rank[Alternate day aspirin] 3.84 4.40 1 1 2 5 16 5614 3709
#> rank[Dipyridamole] 11.19 3.75 4 8 11 14 17 3445 NA
#> rank[Fixed dose warfarin] 14.10 3.04 6 12 15 16 17 3499 NA
#> rank[Fixed dose warfarin + low dose aspirin] 10.15 3.82 3 7 10 13 17 3268 3025
#> rank[Fixed dose warfarin + medium dose aspirin] 14.08 2.64 8 13 15 16 17 3100 NA
#> rank[High dose aspirin] 10.33 5.28 1 6 11 16 17 4680 NA
#> rank[Indobufen] 8.00 3.97 2 5 8 11 16 3214 3121
#> rank[Low adjusted dose anti-coagulant] 3.73 2.17 1 2 3 5 9 3506 3207
#> rank[Low dose aspirin] 11.73 2.27 7 10 12 13 16 3961 3502
#> rank[Low dose aspirin + copidogrel] 10.56 3.39 4 8 10 13 17 3248 2933
#> rank[Low dose aspirin + dipyridamole] 8.12 3.87 2 5 8 11 16 3832 3437
#> rank[Medium dose aspirin] 9.18 2.14 5 8 9 11 14 3682 3349
#> rank[Placebo/Standard care] 13.43 1.81 10 12 14 15 17 3692 3733
#> rank[Triflusal] 11.53 4.55 3 8 12 16 17 3377 NA
#> rank[Ximelagatran] 4.77 2.20 2 3 4 6 10 2977 2546
#> Rhat
#> rank[Standard adjusted dose anti-coagulant] 1
#> rank[Acenocoumarol] 1
#> rank[Alternate day aspirin] 1
#> rank[Dipyridamole] 1
#> rank[Fixed dose warfarin] 1
#> rank[Fixed dose warfarin + low dose aspirin] 1
#> rank[Fixed dose warfarin + medium dose aspirin] 1
#> rank[High dose aspirin] 1
#> rank[Indobufen] 1
#> rank[Low adjusted dose anti-coagulant] 1
#> rank[Low dose aspirin] 1
#> rank[Low dose aspirin + copidogrel] 1
#> rank[Low dose aspirin + dipyridamole] 1
#> rank[Medium dose aspirin] 1
#> rank[Placebo/Standard care] 1
#> rank[Triflusal] 1
#> rank[Ximelagatran] 1
plot(af_1_ranks)
(af_1_rankprobs <- posterior_rank_probs(af_fit_1))
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4] p_rank[5]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.01 0.07 0.20 0.29
#> d[Acenocoumarol] 0.37 0.29 0.10 0.06 0.04
#> d[Alternate day aspirin] 0.46 0.17 0.07 0.04 0.03
#> d[Dipyridamole] 0.00 0.01 0.02 0.02 0.03
#> d[Fixed dose warfarin] 0.00 0.00 0.00 0.00 0.01
#> d[Fixed dose warfarin + low dose aspirin] 0.00 0.02 0.03 0.03 0.04
#> d[Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[High dose aspirin] 0.03 0.05 0.06 0.06 0.04
#> d[Indobufen] 0.01 0.05 0.08 0.08 0.08
#> d[Low adjusted dose anti-coagulant] 0.08 0.24 0.27 0.15 0.09
#> d[Low dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[Low dose aspirin + copidogrel] 0.00 0.00 0.01 0.02 0.03
#> d[Low dose aspirin + dipyridamole] 0.01 0.04 0.07 0.08 0.08
#> d[Medium dose aspirin] 0.00 0.00 0.00 0.01 0.02
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.00 0.00
#> d[Triflusal] 0.00 0.01 0.03 0.04 0.04
#> d[Ximelagatran] 0.02 0.10 0.19 0.21 0.17
#> p_rank[6] p_rank[7] p_rank[8] p_rank[9] p_rank[10]
#> d[Standard adjusted dose anti-coagulant] 0.23 0.12 0.04 0.01 0.00
#> d[Acenocoumarol] 0.03 0.02 0.02 0.01 0.01
#> d[Alternate day aspirin] 0.03 0.03 0.02 0.02 0.02
#> d[Dipyridamole] 0.04 0.07 0.07 0.08 0.09
#> d[Fixed dose warfarin] 0.01 0.02 0.02 0.03 0.04
#> d[Fixed dose warfarin + low dose aspirin] 0.06 0.08 0.09 0.09 0.09
#> d[Fixed dose warfarin + medium dose aspirin] 0.01 0.01 0.02 0.03 0.04
#> d[High dose aspirin] 0.05 0.05 0.05 0.05 0.05
#> d[Indobufen] 0.09 0.10 0.09 0.08 0.07
#> d[Low adjusted dose anti-coagulant] 0.07 0.05 0.03 0.02 0.01
#> d[Low dose aspirin] 0.01 0.02 0.05 0.08 0.13
#> d[Low dose aspirin + copidogrel] 0.05 0.07 0.10 0.11 0.11
#> d[Low dose aspirin + dipyridamole] 0.10 0.11 0.09 0.08 0.07
#> d[Medium dose aspirin] 0.06 0.12 0.17 0.19 0.17
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.02 0.04
#> d[Triflusal] 0.05 0.06 0.06 0.06 0.05
#> d[Ximelagatran] 0.11 0.08 0.05 0.03 0.01
#> p_rank[11] p_rank[12] p_rank[13] p_rank[14] p_rank[15]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00 0.00
#> d[Acenocoumarol] 0.01 0.01 0.00 0.00 0.01
#> d[Alternate day aspirin] 0.01 0.01 0.01 0.01 0.01
#> d[Dipyridamole] 0.08 0.08 0.08 0.09 0.09
#> d[Fixed dose warfarin] 0.05 0.06 0.08 0.09 0.14
#> d[Fixed dose warfarin + low dose aspirin] 0.10 0.08 0.06 0.07 0.05
#> d[Fixed dose warfarin + medium dose aspirin] 0.06 0.07 0.09 0.12 0.17
#> d[High dose aspirin] 0.05 0.04 0.04 0.05 0.07
#> d[Indobufen] 0.06 0.05 0.04 0.03 0.03
#> d[Low adjusted dose anti-coagulant] 0.01 0.00 0.00 0.00 0.00
#> d[Low dose aspirin] 0.16 0.17 0.15 0.11 0.07
#> d[Low dose aspirin + copidogrel] 0.09 0.10 0.08 0.08 0.06
#> d[Low dose aspirin + dipyridamole] 0.06 0.05 0.04 0.04 0.03
#> d[Medium dose aspirin] 0.12 0.07 0.04 0.02 0.01
#> d[Placebo/Standard care] 0.08 0.14 0.21 0.22 0.17
#> d[Triflusal] 0.05 0.05 0.06 0.06 0.08
#> d[Ximelagatran] 0.01 0.00 0.00 0.00 0.00
#> p_rank[16] p_rank[17]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[Acenocoumarol] 0.00 0.00
#> d[Alternate day aspirin] 0.02 0.02
#> d[Dipyridamole] 0.09 0.07
#> d[Fixed dose warfarin] 0.19 0.25
#> d[Fixed dose warfarin + low dose aspirin] 0.06 0.05
#> d[Fixed dose warfarin + medium dose aspirin] 0.21 0.17
#> d[High dose aspirin] 0.08 0.17
#> d[Indobufen] 0.03 0.02
#> d[Low adjusted dose anti-coagulant] 0.00 0.00
#> d[Low dose aspirin] 0.04 0.01
#> d[Low dose aspirin + copidogrel] 0.05 0.03
#> d[Low dose aspirin + dipyridamole] 0.02 0.02
#> d[Medium dose aspirin] 0.00 0.00
#> d[Placebo/Standard care] 0.09 0.03
#> d[Triflusal] 0.11 0.18
#> d[Ximelagatran] 0.00 0.00
plot(af_1_rankprobs)
(af_1_cumrankprobs <- posterior_rank_probs(af_fit_1, cumulative = TRUE))
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4] p_rank[5]
#> d[Standard adjusted dose anti-coagulant] 0.00 0.02 0.09 0.29 0.59
#> d[Acenocoumarol] 0.37 0.66 0.76 0.81 0.86
#> d[Alternate day aspirin] 0.46 0.63 0.70 0.74 0.77
#> d[Dipyridamole] 0.00 0.01 0.02 0.04 0.08
#> d[Fixed dose warfarin] 0.00 0.00 0.00 0.01 0.02
#> d[Fixed dose warfarin + low dose aspirin] 0.00 0.02 0.05 0.08 0.12
#> d[Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[High dose aspirin] 0.03 0.08 0.15 0.20 0.25
#> d[Indobufen] 0.01 0.06 0.14 0.22 0.30
#> d[Low adjusted dose anti-coagulant] 0.08 0.32 0.59 0.73 0.82
#> d[Low dose aspirin] 0.00 0.00 0.00 0.00 0.00
#> d[Low dose aspirin + copidogrel] 0.00 0.01 0.02 0.04 0.07
#> d[Low dose aspirin + dipyridamole] 0.01 0.05 0.12 0.20 0.28
#> d[Medium dose aspirin] 0.00 0.00 0.00 0.01 0.04
#> d[Placebo/Standard care] 0.00 0.00 0.00 0.00 0.00
#> d[Triflusal] 0.00 0.02 0.05 0.09 0.13
#> d[Ximelagatran] 0.02 0.12 0.31 0.52 0.69
#> p_rank[6] p_rank[7] p_rank[8] p_rank[9] p_rank[10]
#> d[Standard adjusted dose anti-coagulant] 0.82 0.94 0.99 1.00 1.00
#> d[Acenocoumarol] 0.89 0.91 0.93 0.95 0.96
#> d[Alternate day aspirin] 0.80 0.82 0.85 0.87 0.89
#> d[Dipyridamole] 0.12 0.18 0.26 0.34 0.43
#> d[Fixed dose warfarin] 0.03 0.04 0.07 0.10 0.14
#> d[Fixed dose warfarin + low dose aspirin] 0.18 0.26 0.35 0.44 0.54
#> d[Fixed dose warfarin + medium dose aspirin] 0.01 0.02 0.05 0.08 0.12
#> d[High dose aspirin] 0.29 0.34 0.39 0.44 0.49
#> d[Indobufen] 0.39 0.50 0.59 0.67 0.74
#> d[Low adjusted dose anti-coagulant] 0.89 0.93 0.96 0.98 0.99
#> d[Low dose aspirin] 0.01 0.03 0.08 0.17 0.29
#> d[Low dose aspirin + copidogrel] 0.12 0.19 0.29 0.40 0.51
#> d[Low dose aspirin + dipyridamole] 0.38 0.49 0.58 0.66 0.73
#> d[Medium dose aspirin] 0.09 0.22 0.38 0.57 0.74
#> d[Placebo/Standard care] 0.00 0.00 0.01 0.02 0.07
#> d[Triflusal] 0.17 0.23 0.29 0.36 0.41
#> d[Ximelagatran] 0.81 0.89 0.94 0.97 0.98
#> p_rank[11] p_rank[12] p_rank[13] p_rank[14] p_rank[15]
#> d[Standard adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00 1.00
#> d[Acenocoumarol] 0.97 0.98 0.98 0.99 0.99
#> d[Alternate day aspirin] 0.90 0.92 0.93 0.94 0.96
#> d[Dipyridamole] 0.51 0.59 0.68 0.76 0.85
#> d[Fixed dose warfarin] 0.19 0.25 0.33 0.42 0.56
#> d[Fixed dose warfarin + low dose aspirin] 0.63 0.71 0.78 0.84 0.90
#> d[Fixed dose warfarin + medium dose aspirin] 0.17 0.24 0.33 0.45 0.62
#> d[High dose aspirin] 0.54 0.58 0.63 0.67 0.75
#> d[Indobufen] 0.79 0.84 0.89 0.92 0.95
#> d[Low adjusted dose anti-coagulant] 0.99 1.00 1.00 1.00 1.00
#> d[Low dose aspirin] 0.45 0.62 0.77 0.89 0.96
#> d[Low dose aspirin + copidogrel] 0.60 0.70 0.77 0.86 0.92
#> d[Low dose aspirin + dipyridamole] 0.79 0.85 0.89 0.93 0.96
#> d[Medium dose aspirin] 0.86 0.94 0.97 0.99 1.00
#> d[Placebo/Standard care] 0.14 0.28 0.49 0.71 0.88
#> d[Triflusal] 0.46 0.52 0.58 0.63 0.71
#> d[Ximelagatran] 0.99 0.99 1.00 1.00 1.00
#> p_rank[16] p_rank[17]
#> d[Standard adjusted dose anti-coagulant] 1.00 1
#> d[Acenocoumarol] 1.00 1
#> d[Alternate day aspirin] 0.98 1
#> d[Dipyridamole] 0.93 1
#> d[Fixed dose warfarin] 0.75 1
#> d[Fixed dose warfarin + low dose aspirin] 0.95 1
#> d[Fixed dose warfarin + medium dose aspirin] 0.83 1
#> d[High dose aspirin] 0.83 1
#> d[Indobufen] 0.98 1
#> d[Low adjusted dose anti-coagulant] 1.00 1
#> d[Low dose aspirin] 0.99 1
#> d[Low dose aspirin + copidogrel] 0.97 1
#> d[Low dose aspirin + dipyridamole] 0.98 1
#> d[Medium dose aspirin] 1.00 1
#> d[Placebo/Standard care] 0.97 1
#> d[Triflusal] 0.82 1
#> d[Ximelagatran] 1.00 1
plot(af_1_cumrankprobs)
We now consider a meta-regression model adjusting for the proportion of individuals in each study with prior stroke, with shared interaction coefficients by treatment class. The regression model is specified in the nma()
function using a formula in the regression
argument. The formula ~ .trt:stroke
means that interactions of prior stroke with treatment will be included; the .trt
special variable indicates treatment, and stroke
is in the original data set. We specify class_interactions = "common"
to denote that the interaction parameters are to be common (i.e. shared) between treatments within each class. (Setting class_interactions = "independent"
would fit model 2 of Cooper et al. (2009) with separate interactions for each treatment, data permitting.) We use the same prior distributions as above, but additionally require a prior distribution for the regression coefficients prior_reg
; we use a \(\mathrm{N}(0, 100^2)\) prior distribution. The QR decomposition can greatly improve the efficiency of sampling for regression models by decorrelating the sampling space; we specify that this should be used with QR = TRUE
, and increase the target acceptance rate adapt_delta = 0.99
to minimise divergent transition warnings.
af_fit_4b <- nma(af_net,
trt_effects = "random",
regression = ~ .trt:stroke,
class_interactions = "common",
QR = TRUE,
prior_intercept = normal(scale = 100),
prior_trt = normal(scale = 100),
prior_reg = normal(scale = 100),
prior_het = half_normal(scale = 5),
adapt_delta = 0.99)
#> Note: Setting "Standard adjusted dose anti-coagulant" as the network reference treatment.
#> Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
#> Running the chains for more iterations may help. See
#> http://mc-stan.org/misc/warnings.html#bulk-ess
Basic parameter summaries are given by the print()
method:
af_fit_4b
#> A random effects NMA with a binomial likelihood (logit link).
#> Regression model: ~.trt:stroke.
#> Centred covariates at the following overall mean values:
#> stroke
#> 0.2957377
#> Inference for Stan model: binomial_1par.
#> 4 chains, each with iter=2000; warmup=1000; thin=1;
#> post-warmup draws per chain=1000, total post-warmup draws=4000.
#>
#> mean se_mean sd 2.5% 25% 50%
#> beta[.trtclassMixed:stroke] 3.98 0.03 2.05 -0.01 2.62 3.97
#> beta[.trtclassAnti-platelet:stroke] 0.94 0.01 0.40 0.16 0.68 0.93
#> beta[.trtclassControl:stroke] 0.70 0.01 0.43 -0.15 0.42 0.69
#> d[Acenocoumarol] 0.39 0.01 0.96 -1.50 -0.25 0.43
#> d[Alternate day aspirin] -0.90 0.03 1.34 -4.14 -1.66 -0.72
#> d[Dipyridamole] 0.57 0.01 0.40 -0.24 0.31 0.58
#> d[Fixed dose warfarin] 0.63 0.01 0.39 -0.13 0.38 0.62
#> d[Fixed dose warfarin + low dose aspirin] 1.48 0.01 0.72 0.05 1.00 1.49
#> d[Fixed dose warfarin + medium dose aspirin] 1.01 0.00 0.30 0.42 0.81 1.01
#> d[High dose aspirin] 0.43 0.01 0.74 -1.05 -0.06 0.44
#> d[Indobufen] -0.42 0.01 0.48 -1.36 -0.72 -0.41
#> d[Low adjusted dose anti-coagulant] -0.43 0.01 0.36 -1.16 -0.68 -0.44
#> d[Low dose aspirin] 0.72 0.00 0.20 0.33 0.59 0.72
#> d[Low dose aspirin + copidogrel] 0.66 0.00 0.27 0.11 0.50 0.66
#> d[Low dose aspirin + dipyridamole] 0.25 0.01 0.43 -0.63 -0.04 0.26
#> d[Medium dose aspirin] 0.35 0.00 0.17 0.02 0.23 0.35
#> d[Placebo/Standard care] 0.79 0.00 0.19 0.42 0.66 0.79
#> d[Triflusal] 0.90 0.01 0.57 -0.20 0.52 0.89
#> d[Ximelagatran] -0.09 0.00 0.21 -0.53 -0.21 -0.09
#> lp__ -4771.41 0.20 6.93 -4786.35 -4775.66 -4771.20
#> tau 0.17 0.01 0.13 0.01 0.07 0.15
#> 75% 97.5% n_eff Rhat
#> beta[.trtclassMixed:stroke] 5.35 8.08 4458 1.00
#> beta[.trtclassAnti-platelet:stroke] 1.20 1.75 4392 1.00
#> beta[.trtclassControl:stroke] 0.97 1.56 4272 1.00
#> d[Acenocoumarol] 1.04 2.26 4356 1.00
#> d[Alternate day aspirin] 0.01 1.25 2044 1.00
#> d[Dipyridamole] 0.84 1.37 5911 1.00
#> d[Fixed dose warfarin] 0.88 1.39 4961 1.00
#> d[Fixed dose warfarin + low dose aspirin] 1.96 2.84 4292 1.00
#> d[Fixed dose warfarin + medium dose aspirin] 1.20 1.64 4798 1.00
#> d[High dose aspirin] 0.93 1.86 5984 1.00
#> d[Indobufen] -0.11 0.52 4122 1.00
#> d[Low adjusted dose anti-coagulant] -0.18 0.28 4930 1.00
#> d[Low dose aspirin] 0.85 1.10 4265 1.00
#> d[Low dose aspirin + copidogrel] 0.82 1.22 3668 1.00
#> d[Low dose aspirin + dipyridamole] 0.54 1.07 5926 1.00
#> d[Medium dose aspirin] 0.46 0.69 4577 1.00
#> d[Placebo/Standard care] 0.92 1.15 3823 1.00
#> d[Triflusal] 1.29 2.07 4277 1.00
#> d[Ximelagatran] 0.04 0.33 3943 1.00
#> lp__ -4766.51 -4759.00 1218 1.00
#> tau 0.25 0.46 345 1.01
#>
#> Samples were drawn using NUTS(diag_e) at Tue Jun 23 16:24:05 2020.
#> For each parameter, n_eff is a crude measure of effective sample size,
#> and Rhat is the potential scale reduction factor on split chains (at
#> convergence, Rhat=1).
The estimated treatment effects d[]
shown here correspond to relative effects at the reference level of the covariate, here proportion of prior stroke centered at the network mean value 0.296.
By default, summaries of the study-specific intercepts \(\mu_j\) and study-specific relative effects \(\delta_{jk}\) are hidden, but could be examined by changing the pars
argument:
The prior and posterior distributions can be compared visually using the plot_prior_posterior()
function:
We can compute relative effects against placebo/standard care with the relative_effects()
function with the trt_ref
argument, which by default produces relative effects for the observed proportions of prior stroke in each study:
# Not run
(af_4b_releff <- relative_effects(af_fit_4b, trt_ref = "Placebo/Standard care"))
plot(af_4b_releff, ref_line = 0)
We can produce estimated treatment effects for particular covariate values using the newdata
argument. For example, treatment effects when no individuals or all individuals have prior stroke are produced by
(af_4b_releff_01 <- relative_effects(af_fit_4b,
trt_ref = "Placebo/Standard care",
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> d[stroke = 0: Standard adjusted dose anti-coagulant] -0.58 0.23 -1.04 -0.73 -0.58 -0.43 -0.13
#> d[stroke = 0: Acenocoumarol] -1.37 0.79 -3.03 -1.91 -1.33 -0.84 0.12
#> d[stroke = 0: Alternate day aspirin] -1.76 1.33 -4.91 -2.49 -1.57 -0.86 0.37
#> d[stroke = 0: Dipyridamole] -0.29 0.43 -1.16 -0.57 -0.28 -0.01 0.57
#> d[stroke = 0: Fixed dose warfarin] 0.05 0.43 -0.76 -0.24 0.04 0.34 0.92
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] -0.28 0.35 -0.97 -0.50 -0.28 -0.07 0.42
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] -0.75 0.63 -1.99 -1.17 -0.74 -0.34 0.47
#> d[stroke = 0: High dose aspirin] -0.43 0.77 -1.94 -0.93 -0.42 0.09 1.05
#> d[stroke = 0: Indobufen] -1.28 0.57 -2.37 -1.64 -1.27 -0.91 -0.16
#> d[stroke = 0: Low adjusted dose anti-coagulant] -1.02 0.33 -1.66 -1.24 -1.01 -0.79 -0.38
#> d[stroke = 0: Low dose aspirin] -0.14 0.22 -0.58 -0.29 -0.13 0.00 0.29
#> d[stroke = 0: Low dose aspirin + copidogrel] -0.20 0.36 -0.89 -0.42 -0.20 0.03 0.53
#> d[stroke = 0: Low dose aspirin + dipyridamole] -0.61 0.47 -1.55 -0.91 -0.60 -0.31 0.29
#> d[stroke = 0: Medium dose aspirin] -0.51 0.26 -1.01 -0.68 -0.52 -0.34 0.01
#> d[stroke = 0: Triflusal] 0.05 0.61 -1.16 -0.36 0.04 0.44 1.25
#> d[stroke = 0: Ximelagatran] -0.67 0.32 -1.30 -0.86 -0.67 -0.47 -0.05
#> Bulk_ESS Tail_ESS Rhat
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 3431 2792 1
#> d[stroke = 0: Acenocoumarol] 4416 2853 1
#> d[stroke = 0: Alternate day aspirin] 2710 1792 1
#> d[stroke = 0: Dipyridamole] 5166 2824 1
#> d[stroke = 0: Fixed dose warfarin] 4582 2985 1
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 5042 1950 1
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 4455 3096 1
#> d[stroke = 0: High dose aspirin] 5693 2982 1
#> d[stroke = 0: Indobufen] 4047 3200 1
#> d[stroke = 0: Low adjusted dose anti-coagulant] 5667 3319 1
#> d[stroke = 0: Low dose aspirin] 3792 2685 1
#> d[stroke = 0: Low dose aspirin + copidogrel] 3910 2861 1
#> d[stroke = 0: Low dose aspirin + dipyridamole] 5481 2816 1
#> d[stroke = 0: Medium dose aspirin] 4137 3246 1
#> d[stroke = 0: Triflusal] 4629 2746 1
#> d[stroke = 0: Ximelagatran] 3883 2679 1
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> d[stroke = 1: Standard adjusted dose anti-coagulant] -1.28 0.35 -2.01 -1.51 -1.27 -1.06 -0.61
#> d[stroke = 1: Acenocoumarol] 1.91 2.20 -2.43 0.45 1.92 3.36 6.17
#> d[stroke = 1: Alternate day aspirin] -1.52 1.36 -4.72 -2.31 -1.33 -0.59 0.70
#> d[stroke = 1: Dipyridamole] -0.05 0.39 -0.85 -0.31 -0.04 0.22 0.69
#> d[stroke = 1: Fixed dose warfarin] -0.65 0.53 -1.68 -1.00 -0.66 -0.30 0.40
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 3.00 2.11 -1.18 1.61 3.00 4.41 7.10
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 2.53 1.59 -0.63 1.51 2.52 3.60 5.66
#> d[stroke = 1: High dose aspirin] -0.19 0.73 -1.64 -0.68 -0.19 0.31 1.20
#> d[stroke = 1: Indobufen] -1.04 0.53 -2.12 -1.37 -1.03 -0.70 -0.03
#> d[stroke = 1: Low adjusted dose anti-coagulant] -1.72 0.49 -2.68 -2.05 -1.72 -1.38 -0.75
#> d[stroke = 1: Low dose aspirin] 0.10 0.29 -0.48 -0.09 0.10 0.29 0.64
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.04 0.37 -0.73 -0.19 0.05 0.28 0.79
#> d[stroke = 1: Low dose aspirin + dipyridamole] -0.37 0.42 -1.21 -0.65 -0.37 -0.09 0.45
#> d[stroke = 1: Medium dose aspirin] -0.27 0.24 -0.77 -0.42 -0.26 -0.12 0.17
#> d[stroke = 1: Triflusal] 0.28 0.64 -0.96 -0.15 0.28 0.70 1.55
#> d[stroke = 1: Ximelagatran] -1.37 0.40 -2.20 -1.62 -1.37 -1.10 -0.61
#> Bulk_ESS Tail_ESS Rhat
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 5037 2970 1
#> d[stroke = 1: Acenocoumarol] 4606 2927 1
#> d[stroke = 1: Alternate day aspirin] 2817 1795 1
#> d[stroke = 1: Dipyridamole] 5889 3018 1
#> d[stroke = 1: Fixed dose warfarin] 4740 3031 1
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 4468 2820 1
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 4659 2645 1
#> d[stroke = 1: High dose aspirin] 6231 3101 1
#> d[stroke = 1: Indobufen] 4513 2390 1
#> d[stroke = 1: Low adjusted dose anti-coagulant] 4508 3520 1
#> d[stroke = 1: Low dose aspirin] 4787 2932 1
#> d[stroke = 1: Low dose aspirin + copidogrel] 4195 2851 1
#> d[stroke = 1: Low dose aspirin + dipyridamole] 6057 2912 1
#> d[stroke = 1: Medium dose aspirin] 5147 2788 1
#> d[stroke = 1: Triflusal] 4507 3100 1
#> d[stroke = 1: Ximelagatran] 4423 2952 1
plot(af_4b_releff_01, ref_line = 0)
The estimated class interactions (against the reference “Mixed” class) are very uncertain.
The interactions are more straightforward to interpret if we transform the interaction coefficients (using the consistency equations) so that they are against the control class:
af_4b_beta <- as.array(af_fit_4b, pars = "beta")
# Subtract beta[Control:stroke] from the other class interactions
af_4b_beta[ , , 1:2] <- sweep(af_4b_beta[ , , 1:2], 1:2,
af_4b_beta[ , , "beta[.trtclassControl:stroke]"], FUN = "-")
# Set beta[Anti-coagulant:stroke] = -beta[Control:stroke]
af_4b_beta[ , , "beta[.trtclassControl:stroke]"] <- -af_4b_beta[ , , "beta[.trtclassControl:stroke]"]
names(af_4b_beta)[3] <- "beta[.trtclassAnti-coagulant:stroke]"
# Summarise
summary(af_4b_beta)
#> mean sd 2.5% 25% 50% 75% 97.5% Bulk_ESS Tail_ESS
#> beta[.trtclassMixed:stroke] 3.28 2.08 -0.80 1.92 3.26 4.68 7.43 4568 3148
#> beta[.trtclassAnti-platelet:stroke] 0.24 0.33 -0.43 0.04 0.24 0.45 0.87 4280 2818
#> beta[.trtclassAnti-coagulant:stroke] -0.70 0.43 -1.56 -0.97 -0.69 -0.42 0.15 4381 3079
#> Rhat
#> beta[.trtclassMixed:stroke] 1
#> beta[.trtclassAnti-platelet:stroke] 1
#> beta[.trtclassAnti-coagulant:stroke] 1
plot(summary(af_4b_beta), stat = "halfeye", ref_line = 0)
There is some evidence that the effect of anti-coagulants increases (compared to control) with prior stroke. There is little evidence the effect of anti-platelets reduces with prior stroke, although the point estimate represents a substantial reduction in effectiveness, and the 95% Credible Interval includes values that correspond to substantial increases in treatment effect. The interaction effect of stroke on mixed treatments is very uncertain, but potentially indicates a substantial reduction in treatment effects with prior stroke.
We can also produce treatment rankings, rank probabilities, and cumulative rank probabilities. By default (without the newdata
argument specified), these are produced at the value of stroke
for each study in the network in turn. To instead produce rankings for when no individuals or all individuals have prior stroke, we specify the newdata
argument.
(af_4b_ranks <- posterior_ranks(af_fit_4b,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> rank[stroke = 0: Standard adjusted dose anti-coagulant] 7.76 1.85 4 6 8 9 11
#> rank[stroke = 0: Acenocoumarol] 3.93 3.55 1 1 3 5 14
#> rank[stroke = 0: Alternate day aspirin] 3.99 4.45 1 1 2 5 17
#> rank[stroke = 0: Dipyridamole] 11.11 3.68 4 8 11 14 17
#> rank[stroke = 0: Fixed dose warfarin] 14.08 2.92 7 12 15 16 17
#> rank[stroke = 0: Fixed dose warfarin + low dose aspirin] 11.07 3.73 4 8 11 14 17
#> rank[stroke = 0: Fixed dose warfarin + medium dose aspirin] 7.07 4.43 1 3 6 10 16
#> rank[stroke = 0: High dose aspirin] 9.65 5.29 1 5 10 15 17
#> rank[stroke = 0: Indobufen] 3.58 2.67 1 2 3 4 11
#> rank[stroke = 0: Low adjusted dose anti-coagulant] 4.51 2.38 1 3 4 6 11
#> rank[stroke = 0: Low dose aspirin] 12.94 1.94 9 12 13 14 16
#> rank[stroke = 0: Low dose aspirin + copidogrel] 12.14 2.87 6 10 12 14 17
#> rank[stroke = 0: Low dose aspirin + dipyridamole] 7.90 3.74 2 5 7 11 16
#> rank[stroke = 0: Medium dose aspirin] 8.64 2.21 4 7 9 10 13
#> rank[stroke = 0: Placebo/Standard care] 14.32 1.91 10 13 15 16 17
#> rank[stroke = 0: Triflusal] 13.39 3.98 4 11 15 17 17
#> rank[stroke = 0: Ximelagatran] 6.93 2.53 3 5 7 8 13
#> Bulk_ESS Tail_ESS Rhat
#> rank[stroke = 0: Standard adjusted dose anti-coagulant] 4533 3605 1
#> rank[stroke = 0: Acenocoumarol] 4600 3320 1
#> rank[stroke = 0: Alternate day aspirin] 4887 3539 1
#> rank[stroke = 0: Dipyridamole] 5322 NA 1
#> rank[stroke = 0: Fixed dose warfarin] 4675 NA 1
#> rank[stroke = 0: Fixed dose warfarin + low dose aspirin] 4846 NA 1
#> rank[stroke = 0: Fixed dose warfarin + medium dose aspirin] 4551 3295 1
#> rank[stroke = 0: High dose aspirin] 5602 NA 1
#> rank[stroke = 0: Indobufen] 3728 3190 1
#> rank[stroke = 0: Low adjusted dose anti-coagulant] 4783 3218 1
#> rank[stroke = 0: Low dose aspirin] 3365 2570 1
#> rank[stroke = 0: Low dose aspirin + copidogrel] 3836 2740 1
#> rank[stroke = 0: Low dose aspirin + dipyridamole] 5398 3104 1
#> rank[stroke = 0: Medium dose aspirin] 4555 3064 1
#> rank[stroke = 0: Placebo/Standard care] 3103 NA 1
#> rank[stroke = 0: Triflusal] 4009 NA 1
#> rank[stroke = 0: Ximelagatran] 3972 3263 1
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> mean sd 2.5% 25% 50% 75% 97.5%
#> rank[stroke = 1: Standard adjusted dose anti-coagulant] 3.63 1.08 2 3 4.0 4 6
#> rank[stroke = 1: Acenocoumarol] 13.34 4.23 1 14 15.0 16 17
#> rank[stroke = 1: Alternate day aspirin] 4.49 4.00 1 1 3.0 6 14
#> rank[stroke = 1: Dipyridamole] 10.55 2.68 5 9 11.0 13 15
#> rank[stroke = 1: Fixed dose warfarin] 7.06 2.71 3 5 6.0 8 14
#> rank[stroke = 1: Fixed dose warfarin + low dose aspirin] 15.86 2.82 6 16 17.0 17 17
#> rank[stroke = 1: Fixed dose warfarin + medium dose aspirin] 15.46 1.83 9 15 16.0 16 17
#> rank[stroke = 1: High dose aspirin] 9.45 3.98 2 6 9.0 13 16
#> rank[stroke = 1: Indobufen] 4.94 2.12 1 4 5.0 6 10
#> rank[stroke = 1: Low adjusted dose anti-coagulant] 1.96 1.24 1 1 2.0 2 5
#> rank[stroke = 1: Low dose aspirin] 11.89 1.79 8 11 12.0 13 15
#> rank[stroke = 1: Low dose aspirin + copidogrel] 11.21 2.32 6 10 11.0 13 15
#> rank[stroke = 1: Low dose aspirin + dipyridamole] 8.24 2.70 3 6 8.0 10 14
#> rank[stroke = 1: Medium dose aspirin] 8.64 1.65 6 8 8.5 10 12
#> rank[stroke = 1: Placebo/Standard care] 11.06 1.94 7 10 11.0 12 15
#> rank[stroke = 1: Triflusal] 12.09 3.04 5 10 13.0 14 17
#> rank[stroke = 1: Ximelagatran] 3.11 1.35 1 2 3.0 4 6
#> Bulk_ESS Tail_ESS Rhat
#> rank[stroke = 1: Standard adjusted dose anti-coagulant] 3747 3609 1
#> rank[stroke = 1: Acenocoumarol] 4140 NA 1
#> rank[stroke = 1: Alternate day aspirin] 4693 2577 1
#> rank[stroke = 1: Dipyridamole] 4975 2997 1
#> rank[stroke = 1: Fixed dose warfarin] 4461 3371 1
#> rank[stroke = 1: Fixed dose warfarin + low dose aspirin] 3403 NA 1
#> rank[stroke = 1: Fixed dose warfarin + medium dose aspirin] 3276 NA 1
#> rank[stroke = 1: High dose aspirin] 5685 3104 1
#> rank[stroke = 1: Indobufen] 4339 3083 1
#> rank[stroke = 1: Low adjusted dose anti-coagulant] 3237 3221 1
#> rank[stroke = 1: Low dose aspirin] 3404 3017 1
#> rank[stroke = 1: Low dose aspirin + copidogrel] 3906 2939 1
#> rank[stroke = 1: Low dose aspirin + dipyridamole] 4837 2811 1
#> rank[stroke = 1: Medium dose aspirin] 4082 3034 1
#> rank[stroke = 1: Placebo/Standard care] 4841 3141 1
#> rank[stroke = 1: Triflusal] 3329 3078 1
#> rank[stroke = 1: Ximelagatran] 3474 3056 1
plot(af_4b_ranks)
(af_4b_rankprobs <- posterior_rank_probs(af_fit_4b,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.01 0.03
#> d[stroke = 0: Acenocoumarol] 0.25 0.24 0.14 0.10
#> d[stroke = 0: Alternate day aspirin] 0.43 0.15 0.09 0.05
#> d[stroke = 0: Dipyridamole] 0.00 0.01 0.01 0.02
#> d[stroke = 0: Fixed dose warfarin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.02 0.03
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.05 0.10 0.11 0.11
#> d[stroke = 0: High dose aspirin] 0.03 0.06 0.07 0.07
#> d[stroke = 0: Indobufen] 0.18 0.25 0.20 0.13
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.04 0.14 0.22 0.20
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.01 0.03 0.06 0.11
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00 0.01 0.02
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.00 0.00 0.01 0.02
#> d[stroke = 0: Ximelagatran] 0.00 0.01 0.05 0.10
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.07 0.15 0.20 0.20
#> d[stroke = 0: Acenocoumarol] 0.06 0.04 0.03 0.02
#> d[stroke = 0: Alternate day aspirin] 0.04 0.03 0.02 0.02
#> d[stroke = 0: Dipyridamole] 0.04 0.05 0.06 0.06
#> d[stroke = 0: Fixed dose warfarin] 0.01 0.01 0.01 0.02
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.04 0.05 0.05 0.06
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.10 0.08 0.06 0.05
#> d[stroke = 0: High dose aspirin] 0.06 0.06 0.05 0.04
#> d[stroke = 0: Indobufen] 0.08 0.05 0.03 0.02
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.14 0.09 0.06 0.04
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.01 0.02 0.03 0.04
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.11 0.10 0.08 0.07
#> d[stroke = 0: Medium dose aspirin] 0.05 0.09 0.13 0.18
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.03 0.03 0.03 0.03
#> d[stroke = 0: Ximelagatran] 0.15 0.17 0.15 0.13
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.17 0.10 0.05 0.02
#> d[stroke = 0: Acenocoumarol] 0.02 0.02 0.02 0.02
#> d[stroke = 0: Alternate day aspirin] 0.02 0.01 0.02 0.01
#> d[stroke = 0: Dipyridamole] 0.07 0.09 0.10 0.10
#> d[stroke = 0: Fixed dose warfarin] 0.02 0.04 0.06 0.08
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.06 0.09 0.10 0.09
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.06 0.05 0.05 0.04
#> d[stroke = 0: High dose aspirin] 0.04 0.05 0.05 0.05
#> d[stroke = 0: Indobufen] 0.02 0.01 0.01 0.01
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.03 0.02 0.02 0.01
#> d[stroke = 0: Low dose aspirin] 0.03 0.06 0.12 0.17
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.06 0.09 0.12 0.13
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.09 0.08 0.07 0.06
#> d[stroke = 0: Medium dose aspirin] 0.17 0.15 0.10 0.06
#> d[stroke = 0: Placebo/Standard care] 0.01 0.02 0.04 0.07
#> d[stroke = 0: Triflusal] 0.04 0.05 0.05 0.06
#> d[stroke = 0: Ximelagatran] 0.09 0.07 0.04 0.02
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 0: Acenocoumarol] 0.02 0.01 0.01
#> d[stroke = 0: Alternate day aspirin] 0.01 0.01 0.01
#> d[stroke = 0: Dipyridamole] 0.09 0.09 0.08
#> d[stroke = 0: Fixed dose warfarin] 0.08 0.10 0.13
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.10 0.08 0.09
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.03 0.03 0.04
#> d[stroke = 0: High dose aspirin] 0.05 0.04 0.05
#> d[stroke = 0: Indobufen] 0.00 0.00 0.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin] 0.21 0.20 0.12
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.13 0.12 0.11
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.04 0.04 0.02
#> d[stroke = 0: Medium dose aspirin] 0.02 0.01 0.00
#> d[stroke = 0: Placebo/Standard care] 0.14 0.18 0.23
#> d[stroke = 0: Triflusal] 0.06 0.07 0.08
#> d[stroke = 0: Ximelagatran] 0.01 0.01 0.00
#> p_rank[16] p_rank[17]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 0: Acenocoumarol] 0.01 0.00
#> d[stroke = 0: Alternate day aspirin] 0.02 0.03
#> d[stroke = 0: Dipyridamole] 0.07 0.06
#> d[stroke = 0: Fixed dose warfarin] 0.20 0.23
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.07 0.05
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.03 0.02
#> d[stroke = 0: High dose aspirin] 0.08 0.14
#> d[stroke = 0: Indobufen] 0.00 0.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 0: Low dose aspirin] 0.07 0.02
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.08 0.03
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.02 0.01
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00
#> d[stroke = 0: Placebo/Standard care] 0.20 0.10
#> d[stroke = 0: Triflusal] 0.14 0.31
#> d[stroke = 0: Ximelagatran] 0.00 0.00
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.01 0.12 0.33 0.35
#> d[stroke = 1: Acenocoumarol] 0.03 0.02 0.01 0.01
#> d[stroke = 1: Alternate day aspirin] 0.36 0.10 0.05 0.07
#> d[stroke = 1: Dipyridamole] 0.00 0.00 0.00 0.01
#> d[stroke = 1: Fixed dose warfarin] 0.01 0.01 0.02 0.06
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.01 0.00
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: High dose aspirin] 0.02 0.03 0.03 0.03
#> d[stroke = 1: Indobufen] 0.03 0.09 0.11 0.18
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.45 0.34 0.10 0.06
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.01 0.02 0.03
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Triflusal] 0.00 0.00 0.00 0.01
#> d[stroke = 1: Ximelagatran] 0.08 0.28 0.31 0.18
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.14 0.03 0.01 0.00
#> d[stroke = 1: Acenocoumarol] 0.02 0.02 0.02 0.02
#> d[stroke = 1: Alternate day aspirin] 0.09 0.08 0.06 0.04
#> d[stroke = 1: Dipyridamole] 0.01 0.04 0.08 0.11
#> d[stroke = 1: Fixed dose warfarin] 0.18 0.25 0.15 0.09
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.01
#> d[stroke = 1: High dose aspirin] 0.07 0.10 0.10 0.07
#> d[stroke = 1: Indobufen] 0.26 0.16 0.08 0.04
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.03 0.01 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.01 0.03
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.02 0.04 0.07
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.06 0.14 0.18 0.16
#> d[stroke = 1: Medium dose aspirin] 0.01 0.06 0.17 0.25
#> d[stroke = 1: Placebo/Standard care] 0.00 0.01 0.02 0.06
#> d[stroke = 1: Triflusal] 0.01 0.03 0.05 0.05
#> d[stroke = 1: Ximelagatran] 0.10 0.03 0.01 0.00
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.01 0.01 0.01 0.01
#> d[stroke = 1: Alternate day aspirin] 0.03 0.02 0.02 0.02
#> d[stroke = 1: Dipyridamole] 0.12 0.12 0.12 0.12
#> d[stroke = 1: Fixed dose warfarin] 0.06 0.04 0.03 0.03
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.01 0.01 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.01 0.00 0.01 0.01
#> d[stroke = 1: High dose aspirin] 0.07 0.06 0.06 0.06
#> d[stroke = 1: Indobufen] 0.02 0.01 0.01 0.01
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.06 0.11 0.18 0.23
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.09 0.13 0.15 0.18
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.11 0.09 0.07 0.06
#> d[stroke = 1: Medium dose aspirin] 0.23 0.15 0.08 0.03
#> d[stroke = 1: Placebo/Standard care] 0.12 0.19 0.19 0.18
#> d[stroke = 1: Triflusal] 0.06 0.06 0.06 0.07
#> d[stroke = 1: Ximelagatran] 0.00 0.00 0.00 0.00
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.02 0.04 0.46
#> d[stroke = 1: Alternate day aspirin] 0.02 0.03 0.01
#> d[stroke = 1: Dipyridamole] 0.13 0.09 0.03
#> d[stroke = 1: Fixed dose warfarin] 0.02 0.02 0.01
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.01 0.01 0.04
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.01 0.02 0.26
#> d[stroke = 1: High dose aspirin] 0.09 0.14 0.04
#> d[stroke = 1: Indobufen] 0.00 0.00 0.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.22 0.11 0.03
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.16 0.11 0.03
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.04 0.02 0.01
#> d[stroke = 1: Medium dose aspirin] 0.01 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.13 0.07 0.02
#> d[stroke = 1: Triflusal] 0.13 0.33 0.05
#> d[stroke = 1: Ximelagatran] 0.00 0.00 0.00
#> p_rank[16] p_rank[17]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 1: Acenocoumarol] 0.20 0.07
#> d[stroke = 1: Alternate day aspirin] 0.00 0.00
#> d[stroke = 1: Dipyridamole] 0.01 0.01
#> d[stroke = 1: Fixed dose warfarin] 0.00 0.00
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.18 0.68
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.51 0.15
#> d[stroke = 1: High dose aspirin] 0.02 0.02
#> d[stroke = 1: Indobufen] 0.00 0.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.00 0.00
#> d[stroke = 1: Low dose aspirin] 0.02 0.01
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.01
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.00
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.01 0.00
#> d[stroke = 1: Triflusal] 0.03 0.05
#> d[stroke = 1: Ximelagatran] 0.00 0.00
# Modify the default output with ggplot2 functionality
library(ggplot2)
plot(af_4b_rankprobs) +
facet_grid(Treatment~Study, labeller = label_wrap_gen(20)) +
theme(strip.text.y = element_text(angle = 0))
(af_4b_cumrankprobs <- posterior_rank_probs(af_fit_4b, cumulative = TRUE,
newdata = data.frame(stroke = c(0, 1),
label = c("stroke = 0", "stroke = 1")),
study = label))
#> ------------------------------------------------------------- Study: stroke = 0 ----
#>
#> Covariate values:
#> stroke
#> 0
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.00 0.00 0.01 0.03
#> d[stroke = 0: Acenocoumarol] 0.25 0.49 0.63 0.72
#> d[stroke = 0: Alternate day aspirin] 0.43 0.59 0.68 0.73
#> d[stroke = 0: Dipyridamole] 0.00 0.01 0.02 0.04
#> d[stroke = 0: Fixed dose warfarin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.02 0.05
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.05 0.14 0.26 0.37
#> d[stroke = 0: High dose aspirin] 0.03 0.09 0.16 0.24
#> d[stroke = 0: Indobufen] 0.18 0.42 0.63 0.76
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.04 0.18 0.40 0.60
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.01 0.04 0.10 0.21
#> d[stroke = 0: Medium dose aspirin] 0.00 0.00 0.01 0.03
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 0: Triflusal] 0.00 0.00 0.02 0.03
#> d[stroke = 0: Ximelagatran] 0.00 0.02 0.06 0.16
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.10 0.26 0.46 0.66
#> d[stroke = 0: Acenocoumarol] 0.79 0.82 0.85 0.87
#> d[stroke = 0: Alternate day aspirin] 0.77 0.80 0.82 0.85
#> d[stroke = 0: Dipyridamole] 0.08 0.13 0.19 0.26
#> d[stroke = 0: Fixed dose warfarin] 0.01 0.02 0.04 0.06
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.10 0.14 0.20 0.26
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.47 0.55 0.60 0.65
#> d[stroke = 0: High dose aspirin] 0.30 0.36 0.40 0.45
#> d[stroke = 0: Indobufen] 0.84 0.89 0.92 0.94
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.74 0.82 0.89 0.92
#> d[stroke = 0: Low dose aspirin] 0.00 0.00 0.01 0.02
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.02 0.04 0.07 0.11
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.32 0.42 0.51 0.58
#> d[stroke = 0: Medium dose aspirin] 0.08 0.17 0.30 0.48
#> d[stroke = 0: Placebo/Standard care] 0.00 0.00 0.00 0.01
#> d[stroke = 0: Triflusal] 0.06 0.09 0.12 0.15
#> d[stroke = 0: Ximelagatran] 0.31 0.48 0.62 0.75
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 0.83 0.93 0.98 1.00
#> d[stroke = 0: Acenocoumarol] 0.90 0.92 0.94 0.95
#> d[stroke = 0: Alternate day aspirin] 0.86 0.88 0.90 0.91
#> d[stroke = 0: Dipyridamole] 0.33 0.41 0.51 0.61
#> d[stroke = 0: Fixed dose warfarin] 0.08 0.12 0.18 0.26
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.32 0.41 0.51 0.60
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.71 0.76 0.80 0.85
#> d[stroke = 0: High dose aspirin] 0.49 0.54 0.59 0.64
#> d[stroke = 0: Indobufen] 0.95 0.97 0.98 0.98
#> d[stroke = 0: Low adjusted dose anti-coagulant] 0.95 0.97 0.99 0.99
#> d[stroke = 0: Low dose aspirin] 0.05 0.11 0.22 0.39
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.17 0.26 0.38 0.52
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.66 0.74 0.81 0.87
#> d[stroke = 0: Medium dose aspirin] 0.65 0.80 0.90 0.96
#> d[stroke = 0: Placebo/Standard care] 0.02 0.04 0.08 0.16
#> d[stroke = 0: Triflusal] 0.18 0.23 0.28 0.34
#> d[stroke = 0: Ximelagatran] 0.84 0.91 0.95 0.97
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 0: Acenocoumarol] 0.97 0.98 0.99
#> d[stroke = 0: Alternate day aspirin] 0.92 0.94 0.95
#> d[stroke = 0: Dipyridamole] 0.70 0.79 0.87
#> d[stroke = 0: Fixed dose warfarin] 0.34 0.44 0.57
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.70 0.78 0.88
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.88 0.91 0.95
#> d[stroke = 0: High dose aspirin] 0.68 0.73 0.78
#> d[stroke = 0: Indobufen] 0.99 0.99 1.00
#> d[stroke = 0: Low adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 0: Low dose aspirin] 0.59 0.79 0.91
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.65 0.77 0.88
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.91 0.95 0.97
#> d[stroke = 0: Medium dose aspirin] 0.98 1.00 1.00
#> d[stroke = 0: Placebo/Standard care] 0.29 0.47 0.70
#> d[stroke = 0: Triflusal] 0.40 0.47 0.55
#> d[stroke = 0: Ximelagatran] 0.99 0.99 1.00
#> p_rank[16] p_rank[17]
#> d[stroke = 0: Standard adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 0: Acenocoumarol] 1.00 1
#> d[stroke = 0: Alternate day aspirin] 0.97 1
#> d[stroke = 0: Dipyridamole] 0.94 1
#> d[stroke = 0: Fixed dose warfarin] 0.77 1
#> d[stroke = 0: Fixed dose warfarin + low dose aspirin] 0.95 1
#> d[stroke = 0: Fixed dose warfarin + medium dose aspirin] 0.98 1
#> d[stroke = 0: High dose aspirin] 0.86 1
#> d[stroke = 0: Indobufen] 1.00 1
#> d[stroke = 0: Low adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 0: Low dose aspirin] 0.98 1
#> d[stroke = 0: Low dose aspirin + copidogrel] 0.97 1
#> d[stroke = 0: Low dose aspirin + dipyridamole] 0.99 1
#> d[stroke = 0: Medium dose aspirin] 1.00 1
#> d[stroke = 0: Placebo/Standard care] 0.90 1
#> d[stroke = 0: Triflusal] 0.69 1
#> d[stroke = 0: Ximelagatran] 1.00 1
#>
#> ------------------------------------------------------------- Study: stroke = 1 ----
#>
#> Covariate values:
#> stroke
#> 1
#>
#> p_rank[1] p_rank[2] p_rank[3] p_rank[4]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.01 0.13 0.47 0.82
#> d[stroke = 1: Acenocoumarol] 0.03 0.05 0.07 0.08
#> d[stroke = 1: Alternate day aspirin] 0.36 0.46 0.51 0.58
#> d[stroke = 1: Dipyridamole] 0.00 0.00 0.00 0.01
#> d[stroke = 1: Fixed dose warfarin] 0.01 0.02 0.04 0.10
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.00 0.01 0.01 0.02
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: High dose aspirin] 0.02 0.05 0.07 0.10
#> d[stroke = 1: Indobufen] 0.03 0.12 0.22 0.40
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.45 0.79 0.89 0.95
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.00 0.01 0.03 0.06
#> d[stroke = 1: Medium dose aspirin] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Placebo/Standard care] 0.00 0.00 0.00 0.00
#> d[stroke = 1: Triflusal] 0.00 0.00 0.01 0.01
#> d[stroke = 1: Ximelagatran] 0.08 0.36 0.67 0.85
#> p_rank[5] p_rank[6] p_rank[7] p_rank[8]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 0.96 0.99 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.09 0.12 0.14 0.16
#> d[stroke = 1: Alternate day aspirin] 0.67 0.75 0.81 0.85
#> d[stroke = 1: Dipyridamole] 0.03 0.06 0.14 0.24
#> d[stroke = 1: Fixed dose warfarin] 0.28 0.53 0.68 0.77
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.02 0.03 0.04 0.05
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.01 0.01 0.01 0.02
#> d[stroke = 1: High dose aspirin] 0.17 0.27 0.37 0.45
#> d[stroke = 1: Indobufen] 0.67 0.83 0.91 0.95
#> d[stroke = 1: Low adjusted dose anti-coagulant] 0.98 1.00 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.00 0.00 0.01 0.04
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.01 0.03 0.06 0.14
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.12 0.26 0.44 0.60
#> d[stroke = 1: Medium dose aspirin] 0.01 0.07 0.25 0.50
#> d[stroke = 1: Placebo/Standard care] 0.00 0.01 0.03 0.09
#> d[stroke = 1: Triflusal] 0.03 0.06 0.11 0.16
#> d[stroke = 1: Ximelagatran] 0.95 0.98 0.99 1.00
#> p_rank[9] p_rank[10] p_rank[11] p_rank[12]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.17 0.19 0.20 0.21
#> d[stroke = 1: Alternate day aspirin] 0.87 0.89 0.91 0.92
#> d[stroke = 1: Dipyridamole] 0.36 0.48 0.60 0.73
#> d[stroke = 1: Fixed dose warfarin] 0.84 0.88 0.91 0.94
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.06 0.07 0.07 0.08
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.03 0.04 0.04 0.05
#> d[stroke = 1: High dose aspirin] 0.51 0.57 0.63 0.69
#> d[stroke = 1: Indobufen] 0.97 0.98 0.99 0.99
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1.00 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.09 0.20 0.39 0.62
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.23 0.36 0.50 0.68
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.71 0.80 0.87 0.92
#> d[stroke = 1: Medium dose aspirin] 0.73 0.87 0.95 0.98
#> d[stroke = 1: Placebo/Standard care] 0.21 0.40 0.59 0.77
#> d[stroke = 1: Triflusal] 0.22 0.27 0.34 0.41
#> d[stroke = 1: Ximelagatran] 1.00 1.00 1.00 1.00
#> p_rank[13] p_rank[14] p_rank[15]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 1: Acenocoumarol] 0.23 0.27 0.73
#> d[stroke = 1: Alternate day aspirin] 0.95 0.98 0.99
#> d[stroke = 1: Dipyridamole] 0.86 0.95 0.98
#> d[stroke = 1: Fixed dose warfarin] 0.96 0.98 0.99
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.09 0.10 0.14
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.06 0.07 0.34
#> d[stroke = 1: High dose aspirin] 0.78 0.92 0.96
#> d[stroke = 1: Indobufen] 1.00 1.00 1.00
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1.00 1.00
#> d[stroke = 1: Low dose aspirin] 0.83 0.95 0.98
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.84 0.95 0.98
#> d[stroke = 1: Low dose aspirin + dipyridamole] 0.96 0.99 0.99
#> d[stroke = 1: Medium dose aspirin] 0.99 1.00 1.00
#> d[stroke = 1: Placebo/Standard care] 0.90 0.96 0.99
#> d[stroke = 1: Triflusal] 0.54 0.87 0.92
#> d[stroke = 1: Ximelagatran] 1.00 1.00 1.00
#> p_rank[16] p_rank[17]
#> d[stroke = 1: Standard adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 1: Acenocoumarol] 0.93 1
#> d[stroke = 1: Alternate day aspirin] 1.00 1
#> d[stroke = 1: Dipyridamole] 0.99 1
#> d[stroke = 1: Fixed dose warfarin] 1.00 1
#> d[stroke = 1: Fixed dose warfarin + low dose aspirin] 0.32 1
#> d[stroke = 1: Fixed dose warfarin + medium dose aspirin] 0.85 1
#> d[stroke = 1: High dose aspirin] 0.98 1
#> d[stroke = 1: Indobufen] 1.00 1
#> d[stroke = 1: Low adjusted dose anti-coagulant] 1.00 1
#> d[stroke = 1: Low dose aspirin] 0.99 1
#> d[stroke = 1: Low dose aspirin + copidogrel] 0.99 1
#> d[stroke = 1: Low dose aspirin + dipyridamole] 1.00 1
#> d[stroke = 1: Medium dose aspirin] 1.00 1
#> d[stroke = 1: Placebo/Standard care] 1.00 1
#> d[stroke = 1: Triflusal] 0.95 1
#> d[stroke = 1: Ximelagatran] 1.00 1
plot(af_4b_cumrankprobs) +
facet_grid(Treatment~Study, labeller = label_wrap_gen(20)) +
theme(strip.text.y = element_text(angle = 0))
Model fit can be checked using the dic()
function:
(af_dic_1 <- dic(af_fit_1))
#> Residual deviance: 60.3 (on 61 data points)
#> pD: 48.6
#> DIC: 108.9
(af_dic_4b <- dic(af_fit_4b))
#> Residual deviance: 58.3 (on 61 data points)
#> pD: 47.9
#> DIC: 106.2
Both models fit the data well, having posterior mean residual deviance close to the number of data points. The DIC is slightly lower for the meta-regression model, although only by a couple of points (substantial differences are usually considered 3-5 points). The estimated heterogeneity standard deviation is much lower for the meta-regression model, suggesting that adjusting for the proportion of patients with prior stroke is explaining some of the heterogeneity in the data.
We can also examine the residual deviance contributions with the corresponding plot()
method.
Cooper, Nicola J., Alex J. Sutton, Danielle Morris, A. E. Ades, and Nicky J. Welton. 2009. “Addressing Between-Study Heterogeneity and Inconsistency in Mixed Treatment Comparisons: Application to Stroke Prevention Treatments in Individuals with Non-Rheumatic Atrial Fibrillation.” Statistics in Medicine 28 (14): 1861–81. https://doi.org/10.1002/sim.3594.