tkonfound: Perform Sensitivity Analysis on 2x2 Tables

In konfound: Quantify the Robustness of Causal Inferences

Perform Sensitivity Analysis on 2x2 Tables

Description

This function performs a sensitivity analysis on a 2x2 contingency table. It calculates the number of cases that need to be replaced to invalidate or sustain the statistical inference. The function also allows switching between treatment success and failure or control success and failure based on the provided parameters.

Usage

tkonfound(
  a,
  b,
  c,
  d,
  alpha = 0.05,
  switch_trm = TRUE,
  test = "fisher",
  replace = "control",
  to_return = to_return
)

Arguments

a	Number of unsuccessful cases in the control group.
b	Number of successful cases in the control group.
c	Number of unsuccessful cases in the treatment group.
d	Number of successful cases in the treatment group.
alpha	Significance level for the statistical test, default is 0.05.
switch_trm	Boolean indicating whether to switch treatment row cells, default is TRUE.
test	Type of statistical test to use, either "fisher" (default) or "chisq".
replace	Indicates whether to use the entire sample or the control group for base rate calculation, default is "control".
to_return	Type of output to return, either "raw_output" or "print".

Value

Returns detailed information about the sensitivity analysis, including the number of cases to be replaced (RIR), user-entered table, transfer table, and conclusions.

konfound documentation built on Oct. 17, 2024, 5:08 p.m.