adjust_coef: Adjust an observed regression coefficient for a normally...

In tipr: Tipping Point Analyses

Adjust an observed regression coefficient for a normally distributed confounder

Description

Adjust an observed regression coefficient for a normally distributed confounder

Usage

adjust_coef(
  effect_observed,
  exposure_confounder_effect,
  confounder_outcome_effect,
  verbose = TRUE
)

adjust_coef_with_continuous(
  effect_observed,
  exposure_confounder_effect,
  confounder_outcome_effect,
  verbose = TRUE
)

Arguments

effect_observed	Numeric. Observed exposure - outcome effect from a regression model. This can be the beta coefficient, the lower confidence bound of the beta coefficient, or the upper confidence bound of the beta coefficient.
exposure_confounder_effect	Numeric. Estimated difference in scaled means between the unmeasured confounder in the exposed population and unexposed population
confounder_outcome_effect	Numeric. Estimated relationship between the unmeasured confounder and the outcome.
verbose	Logical. Indicates whether to print informative message. Default: TRUE

Value

Data frame.

Examples

## Update an observed coefficient of 0.5 with an unmeasured confounder
## with a difference in scaled means between exposure groups of 0.2
## and coefficient of 0.3
adjust_coef(0.5, 0.2, 0.3)

tipr documentation built on Sept. 5, 2022, 5:09 p.m.