tipr (version 0.4.0)

tip_hr_with_binary: Tip an observed hazard ratio with a binary confounder.

Description

Choose two of the following three to specify, and the third will be estimated:

• exposed_p

• unexposed_p

• outcome_association

Alternatively, specify all three and the function will return the number of unmeasured confounders specified needed to tip the analysis.

Usage

tip_hr_with_binary(
  effect,
  exposed_p = NULL,
  unexposed_p = NULL,
  outcome_association = NULL,
  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.

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

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 {
tip_hr_with_binary(0.9, 0.9, 0.1)
# }