tipr (version 0.4.0)

adjust_hr: Adjust an observed hazard ratio for a normally distributed confounder

Description

Adjust an observed hazard ratio for a normally distributed confounder

Usage

adjust_hr(
  effect,
  smd,
  outcome_association,
  verbose = TRUE,
  hr_correction = FALSE
)

Arguments

effect

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

smd

Numeric. Estimated difference in scaled means between the unmeasured confounder in the exposed population and unexposed population

outcome_association

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

verbose

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

hr_correction

Logical. Indicates whether to use a correction factor. The methods used for this function are based on relative risks. For rare outcomes, a hazard 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_hr(0.9, -0.9, 1.3)
# }