Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z (2007) <doi:10.1177/1536867X0700700203> ). Currently, the 'chest' package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.
| Version: | 0.3.3 |
| Depends: | R (≥ 2.20) |
| Imports: | broom, ggplot2, survival, grid, speedglm, forestplot, MASS, tibble, dplyr |
| Suggests: | spelling, knitr, rmarkdown |
| Published: | 2020-07-12 |
| Author: | Zhiqiang Wang [aut, cre] |
| Maintainer: | Zhiqiang Wang <zhiqiang.wang at menzies.edu.au> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | chest results |
| Reference manual: | chest.pdf |
| Vignettes: |
chest-vignette |
| Package source: | chest_0.3.3.tar.gz |
| Windows binaries: | r-devel: chest_0.3.3.zip, r-release: chest_0.3.3.zip, r-oldrel: chest_0.3.3.zip |
| macOS binaries: | r-release: chest_0.3.3.tgz, r-oldrel: chest_0.3.3.tgz |
| Old sources: | chest archive |
Please use the canonical form https://CRAN.R-project.org/package=chest to link to this page.