tip_rr: Tip an observed risk ratio with a normally distributed...

In LucyMcGowan/tipr: Tipping Point Analyses

Tip an observed risk ratio with a normally distributed confounder.

Description

choose one of the following, and the other will be estimated:

• exposure_confounder_effect

• confounder_outcome_effect

Usage

tip_rr(
  effect_observed,
  exposure_confounder_effect = NULL,
  confounder_outcome_effect = NULL,
  verbose = getOption("tipr.verbose", TRUE)
)

tip_rr_with_continuous(
  effect_observed,
  exposure_confounder_effect = NULL,
  confounder_outcome_effect = NULL,
  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.
exposure_confounder_effect	Numeric. Estimated difference in scaled means between the unmeasured confounder in the exposed population and 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

## to estimate the relationship between an unmeasured confounder and outcome
## needed to tip analysis
tip_rr(1.2, exposure_confounder_effect = -2)

## to estimate the number of unmeasured confounders specified needed to tip
## the analysis
tip_rr(1.2, exposure_confounder_effect = -2, confounder_outcome_effect = .99)

LucyMcGowan/tipr documentation built on Feb. 9, 2024, 7:02 a.m.