konfound_glm_dichotomous {konfound}

Konfound Analysis for Generalized Linear Models with Dichotomous Outcomes

Description

This function performs konfound analysis on a generalized linear model object with a dichotomous outcome. It uses 'broom' to tidy model outputs and calculates the sensitivity of inferences.

Usage

konfound_glm_dichotomous(
  model_object,
  tested_variable_string,
  alpha,
  tails,
  to_return,
  n_treat,
  switch_trm,
  replace
)

Arguments

model_object

The model object produced by glm.

tested_variable_string

The name of the variable being tested.

alpha

Significance level for hypothesis testing.

tails

Number of tails for the test (1 or 2).

to_return

The type of output to return.

n_treat

Number of treatment cases.

switch_trm

Term to switch for sensitivity analysis.

replace

Boolean indicating whether to replace cases or not.

Value

The results of the konfound analysis.