lstats_boots: L-Statistics for binary and time-to-event outcomes (bootstrap...

In MartaBofillRoig/SurvBin: Two-sample statistics for binary and time-to-event outcomes

Description

performs a L-statistic for right-censored and binary data (bootstrap variance estimator).

Usage

lstats_boots(
  time,
  status,
  binary,
  treat,
  tau,
  rho = 0,
  gam = 0,
  eta = 1,
  wb = 0.5,
  ws = 0.5,
  Boot = 50
)

Arguments

time	The observed time.
status	The status indicator, normally 0=alive, 1=dead.
binary	0=nonresponse, 1=response.
treat	The treatment-group indicator, normally 0=control, 1=intervention.
tau	follow-up. Default NULL denoting the last time in which both groups had patients at risk.
rho	A scalar parameter that controls the type of test (see Weights).
gam	A scalar parameter that controls the type of test (see Weights).
eta	A scalar parameter that controls the type of test (see Weights).
wb	A scalar parameter that controls the type of test (see Weights).
ws	A scalar parameter that controls the type of test (see Weights).
Boot	number of bootstrap samples (default Boot=50).

Value

List: standardized statistic, statistic and variance.

Author(s)

Marta Bofill Roig

MartaBofillRoig/SurvBin documentation built on Sept. 29, 2021, 5:18 p.m.