Diagnostic and Prognostic Meta-Analysis

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Documentation for package ‘metamisc’ version 0.2.2

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metamisc-package Diagnostic and Prognostic Meta-Analysis
ccalc Calculate the concordance statistic
Collins Collins data
Daniels Daniels and Hughes data
DVTipd Hypothetical dataset for diagnosis of Deep Vein Thrombosis (DVT)
DVTmodels Risk prediction models for diagnosing Deep Venous Thrombosis (DVT)
EuroSCORE Predictive performance of EuroSCORE II
fat Regression tests for detecting funnel plot asymmetry
Fibrinogen Meta-analysis of the association between plasma fibrinogen concentration and the risk of coronary heath disease
fitted.metapred Extract Model Fitted Values
forest Forest plot
forest.default Forest plot
forest.metapred Forest plot of a metapred fit
forest.mp.cv.val Forest plot of a validation object.
forest.perf Forest plot of a validation object.
Framingham Predictive performance of the Framingham Risk Score in male populations
gen Generalizability estimates
generalizability Generalizability estimates
impact IMPACT data
inv.logit Apply the inverse logit tranformation
Kertai Kertai data
logit Apply logit tranformation
logLik.riley Print the log-likelihood
ma Random effects meta-analysis
metapred Generalized Stepwise Regression for Prediction Models in Clustered Data
oecalc Calculate the total O:E ratio
perf Performance estimates
performance Performance estimates
plot.fat Display results from the funnel plot asymmetry test
plot.mm_perf Forest Plots
plot.riley Plot the summary of the bivariate model from Riley et al. (2008).
plot.uvmeta Forest Plots
plot.valmeta Forest Plots
predict.riley Prediction Interval
recalibrate Recalibrate a Prediction Model
riley Fit the alternative model for bivariate random-effects meta-analysis
Roberts Roberts data
Scheidler Diagnostic accuracy data
se Standard errors and variances
stackedglm Stacked Regression
subset.metapred Subsetting metapred fits
summary.riley Parameter summaries Provides the summary estimates of the alternative model for bivariate random-effects meta-analysis by Riley et al. (2008) with their corresponding standard errors (derived from the inverse Hessian). For confidence intervals, asymptotic normality is assumed.
summary.uvmeta Summarizing Univariate Meta-Analysis Models
tau Standard errors and variances
tau2 Standard errors and variances
uvmeta Univariate meta-analysis
uvmeta-clas Class "uvmeta". Result of a univariate meta-analysis.
valmeta Meta-analysis of prediction model performance
variances Standard errors and variances
vcov.riley Calculate Variance-Covariance Matrix for a Fitted Riley Model Object
Zhang Meta-analysis of the prognostic role of hormone receptors in endometrial cancer