Change-in-Estimate Approach to Assess Confounding Effects


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Documentation for package ‘chest’ version 0.3.5

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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)
chest_speedglm Assessing confounding effects using Generalized Linear regression models
diab_df Example data: Health outcomes of 2372 adults with and without diabetes