adjust_rr_with_binary {tipr}

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)