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.
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
Returns
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
Details
The function waldtest.ciregic returns a result of Wald test.
Examples
## Continuing the ciregic(...) examplelibrary(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)
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