survtest: Tests for time-to-event outcomes

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

Description

performs a test for right-censored data. It uses the Weighted Kaplan-Meier family of statistics for testing the differences of two survival curves.

Usage

survtest(
  time,
  status,
  treat,
  tau = NULL,
  rho = 0,
  gam = 0,
  eta = 1,
  var_est = "Unpooled"
)

Arguments

time	The observed time.
status	The status indicator, normally 0=alive, 1=dead.
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).
var_est	indicates the variance estimate to use ('Pooled' or 'Unpooled')

Value

List: standardized statistic, statistic and variance.

Author(s)

Marta Bofill Roig

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