R: Change-in-Estimate Approach to Assess Confounding Effects

# Change-in-Estimate Approach to Assess Confounding Effects

## Documentation for package ‘chest’ version 0.3.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

chest | Change-in-Estimate Approach to Assess Confounding Effects
chest_clogit | Assessing confounding effects using conditional logistic regression models
chest_cox | Assessing confounding effects using Cox Proportional Hazards regression models
chest_forest | Plot effect estimates and change-in-estimate values (forestplot type)
chest_glm | Assessing confounding effects using Generalized Linear regression models
chest_lm | Assessing confounding effects using Linear regression models
chest_nb | Assessing confounding effects using Negative Binomial regression models
chest_plot | Plot effect estimate and change-in-estimate values (ggplot type)
diab_df | Example data: Health outcomes of 2372 adults with and without diabetes