tipr (version 0.4.0)

adjust_or_with_binary: Adjust an observed odds ratio with a binary confounder

Description

Adjust an observed odds ratio with a binary confounder

Usage

adjust_or_with_binary(
  effect,
  exposed_p,
  unexposed_p,
  outcome_association,
  verbose = TRUE,
  or_correction = FALSE
)

Arguments

effect

Numeric positive value. Observed exposure - outcome odds ratio. This can be the point estimate, lower confidence bound, or upper confidence bound.

exposed_p

Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the exposed population

unexposed_p

Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the unexposed population

outcome_association

Numeric positive value. Estimated association between the unmeasured confounder and the outcome

verbose

Logical. Indicates whether to print informative message. Default: TRUE

or_correction

Logical. Indicates whether to use a correction factor. The methods used for this function are based on relative risks. For rare outcomes, an odds ratio approximates a relative risk. For common outcomes, a correction factor is needed. If you have a common outcome (>15%), set this to TRUE. Default: FALSE.

Value

Data frame.

Examples

# NOT RUN {
adjust_or_with_binary(3, 1, 0, 3)
adjust_or_with_binary(3, 1, 0, 3, or_correction = TRUE)
# }