tvef.zero: testing the significance of the covariates from a 'coxtv' or...

In surtvep: Cox Non-Proportional Hazards Model with Time-Varying Coefficients

testing the significance of the covariates from a coxtv or coxtp object

Description

Testing the significance of the covariates from a coxtv or coxtp object using a Wald test statistic. The null hypothesis H_0: \beta(t) = 0 for any t, where t denotes the event time.

Usage

tvef.zero(fit, parm)

Arguments

fit	fitted coxtv or coxtp model.
parm	the names of parameters to be tested.

Value

tvef.zero produces a matrix. Each row corresponds to a covariate from the fitted object. The three columns give the test statistic, degrees of freedom and P-value.

See Also

tvef.ph tvef.zero.time

Examples

data(ExampleData)
z <- ExampleData$z
time <- ExampleData$time
event <- ExampleData$event
fit <- coxtv(event = event, z = z, time = time)
tvef.ph(fit)

surtvep documentation built on Oct. 17, 2023, 5:07 p.m.