EstimateTraumaticBrainInjuryProportion: Estimate traumatic brain injury proportion

In martingerdin/bengaltiger: bengaltiger

Description

Estimates the proportion of patients with traumatic brain injury.

Usage

EstimateTraumaticBrainInjuryProportion(study.sample,
  variable.name = "tbi", tbi.level = "Yes", digits = 3,
  bootstrap.confidence.interval = TRUE, random.seed = NULL,
  number.of.bootstrap.samples = 1000, save.to.disk = TRUE,
  return.result = FALSE)

Arguments

study.sample	Data frame. The study sample. No default.
variable.name	Character vector of length 1. The name of the traumatic brain injury variable. Defaults to "tbi".
tbi.level	Character vector of length 1. The level of the traumatic brain injury variable that indicates a traumatic brain injury. Defaults to "Yes".
digits	Numeric vector of length 1. Must be a positive integer. The number of digits to use when rounding the proportion, and if applicable, the lower and upper bounds of the confidence interval. Defaults to 3.
bootstrap.confidence.interval	Logical vector of length 1. If TRUE a confidence interval is estimated using an emperical bootstrap. Deafults to TRUE.
random.seed	Numeric vector of length 1. Has to be an integer. The seed to use for random number generation. Only used if bootstrap.conficence.interval is TRUE. Defaults to NULL.
number.of.bootstrap.samples	Numeric vector of length 1. Has to be a positive integer. The number of bootstrap samples to use. Only used it bootstrap.confidence.interval is TRUE. Defaults to 1000.
save.to.disk	Logical vector of length 1. If TRUE the result is saved to disk in "results.rmd". Defaults to TRUE.
return.result	Logical vector of length 1. If TRUE the result is returned to the parent environment. Default to FALSE.

martingerdin/bengaltiger documentation built on Feb. 29, 2020, 4:46 p.m.