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 |