survbinCov: Covariance between binary and time-to-event statistics

Description Usage Arguments Value Author(s)

View source: R/cov-functions.R

Description

computes the covariance between the binary and time-to-event statistics.

Usage

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survbinCov(
  time,
  status,
  binary,
  treat,
  tau0 = 0,
  tau = NULL,
  taub = NULL,
  rho = 0,
  gam = 0,
  eta = 1,
  var_est = "Pooled"
)

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.

tau0

starting follow-up (survival outcome). Default =0.

tau

follow-up. Default NULL denoting the last time in which both groups had patients at risk.

taub

time-point at which the binary endpoint is evaluated. If NULL, the binary endpoint is evaluated at tau.

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

Covariance.

Author(s)

Marta Bofill Roig


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