tipr (version 0.4.1)

tip_hr: Tip an observed hazard ratio with a normally distributed confounder.

Description

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

• smd

• outcome_association

Usage

tip_hr(
  effect,
  smd = NULL,
  outcome_association = NULL,
  verbose = TRUE,
  hr_correction = FALSE
)
tip_hr_with_continuous(
  effect,
  smd = NULL,
  outcome_association = NULL,
  verbose = TRUE,
  hr_correction = FALSE
)

Value

Data frame.

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 positive value. 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.

Examples

## to estimate the association between an unmeasured confounder and outcome
## needed to tip analysis
tip_hr(1.2, smd = -2)

## to estimate the number of unmeasured confounders specified needed to tip
## the analysis
tip_hr(1.2, smd = -2, outcome_association = .99)