waldtest: Wald test for 'ciregic' and 'ciregic_lt'

In intccr: Semiparametric Competing Risks Regression under Interval Censoring

Wald test for ciregic and ciregic_lt

Description

waldtest for class ciregic or ciregic_lt. This provides the result of Wald test for the fitted model from the function ciregic or ciregic_lt.

Usage

waldtest(obj1, obj2 = NULL, ...)

Arguments

obj1	an object of the fitted model in ciregic or ciregic_lt
obj2	an object of the fitted model in ciregic or ciregic_lt, the default is NULL
...	further arguments

Details

The function waldtest.ciregic returns a result of Wald test.

Value

The function waldtest returns an output table of Wald test of the model from object.

varnames.full	a variable name of a vector of variables names in the full model
varnames.nested	a variable name of a vector of variables names in the nested model
vcov	the estimated bootstrap variance-covariance matrix for overall Wald test
vcov.event1	the estimated bootstrap variance-covariance matrix for cause-specific Wald test (event type 1)
vcov.event2	the estimated bootstrap variance-covariance matrix for cause-specific Wald test (event type 2)
table	a table including test statistic, degrees of freedom, and p-value

Author(s)

Jun Park, [e-mail]

Giorgos Bakoyannis, [e-mail]

See Also

The fitted semiparametric regression on cumulative incidence function with interval-censored competing risks data ciregic and left-truncated and interval-censored competing risks data ciregic_lt

Examples

## Continuing the ciregic(...) example
library(intccr)
waldtest(obj1 = fit)
set.seed(12345)
newdata <- dataprep(data = longdata, ID = id, time = t,
                    event = c, Z = c(z1, z2))
fit.nested <- ciregic(formula = Surv2(v = v, u = u, event = c) ~ z2, data = newdata,
                      alpha = c(1, 1), nboot = 0, do.par = FALSE)
waldtest(obj1 = fit, obj2 = fit.nested)

intccr documentation built on May 10, 2022, 9:05 a.m.