mixcure (version 2.0)

predict.mixcure: Prediction method for mixture cure models

Description

This function computes the estimated survival probabilities and cure rates for given sets of covariate values using the fitted model from mixcure(). Each set of the covariates values is stored in one row of newdata. newdata must be a data frame containing all the covariates used in mixcure(). A used-supplied set of times at which the survival probabilities will be estimated must be provided in times.

Usage

# S3 method for mixcure
predict(object, newdata, times, ...)

Arguments

object

an object of mixcure

newdata

a data frame containing covariate values at which the survival and cure rate will be estimated. It should contain all the covariates that are used to build object. Prediction will be made for each row in newdata.

times

a vector of times at which the survival probabilities are estimated

...

for compatibility purpose. Not used.

Value

a list with the following components:

cure

a matrix of 2 columns and the same number of rows as newdata. The first column is uncure rates for the rows in newdata and the second column is cure rates for the rows in newdata

uncuresurv

a list with the number of components equal to the rows of newdata. Each component is a vector of the estimated survival probabilities at times for a subject if uncured

surv

similar to uncuresurv except that the survival probabilities are the unconditional survival probabilities

times

a vector of times at which the survival probabilities will be predicted

See Also

mixcure

Examples

# NOT RUN {
data(leukaemia)
predict(mixcure(Surv(time, cens) ~ transplant, ~ transplant, data = leukaemia),
newdata = leukaemia[1, ], times = 0:2000)

# }