# Konfound Analysis for Generalized Linear Models with Dichotomous Outcomes

Source:`R/konfound-glm-dichotomous.R`

`konfound_glm_dichotomous.Rd`

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.