Change-in-Estimate Approach to Assess Confounding Effects

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Documentation for package ‘chest’ version 0.3.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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