predict.thregI: predict the initial health status value and the drift value...

In thregI: Threshold Regression for Interval-Censored Data with a Cure Rate Option

Description

Display the predicted values of threshold regression coefficients, density probability, survival probability, and hazard rate at the desired time and specified scenario; or, display the predicted values for all subjects corresponding to subjects scenario values at the desired time.

Usage

## S3 method for class 'thregI'
predict(object,timevalue,scenario,...)

Arguments

object	a thregI object.
timevalue	specifies the desired time at which the predicted values of threshold regression coefficients, density probability, survival probability, and hazard rate.
scenario	specifies the values of all predictors considered in the thregI() and the dummy of the categorical variable of var. The predicted values at a specified time value for all subjects are calculated by the covariate values for each subject are used as their corresponding scenario values if ignore this argument.
...	for future methods

Examples

#load the data "bcos"
data("bcos", package="thregI")

# transform the treatment variable into factor variable f.treatment
bcos$f.treatment=factor(bcos$treatment)

# fit the threshold regression model on the factor variable f.treatment
fit<-thregI(Surv(left, right, type='interval2')~f.treatment|f.treatment,data=bcos)

# calculate the predicted values for y0, mu, f, s and h
# for the specified scenario that the treatment classification is 1 at time fifth month.
predict.thregI(fit, timevalue = 5, scenario=f.treatmentRadiation(1))

thregI documentation built on May 2, 2019, 6:27 a.m.