Covariance between binary and time-to-event statistics

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

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')

Covariance.

Marta Bofill Roig