adjust_rr_with_binary: Adjust an observed risk ratio with a binary confounder

In tipr: Tipping Point Analyses

Adjust an observed risk ratio with a binary confounder

Description

Adjust an observed risk ratio with a binary confounder

Usage

adjust_rr_with_binary(
  effect_observed,
  exposed_confounder_prev,
  unexposed_confounder_prev,
  confounder_outcome_effect,
  verbose = getOption("tipr.verbose", TRUE)
)

Arguments

effect_observed	Numeric positive value. Observed exposure - outcome risk ratio. This can be the point estimate, lower confidence bound, or upper confidence bound.
exposed_confounder_prev	Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the exposed population
unexposed_confounder_prev	Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the unexposed population
confounder_outcome_effect	Numeric positive value. Estimated relationship between the unmeasured confounder and the outcome
verbose	Logical. Indicates whether to print informative message. Default: TRUE

Value

Data frame.

Examples

adjust_rr_with_binary(1.1, 0.5, 0.3, 1.3)

tipr documentation built on May 29, 2024, 9:59 a.m.