FitCalibCox: Fitting Proportional Hazards Calibration Models with...

In daniel258/CoxBinChange: Cox Model with Interval-Censored Starting Time of a Covariate

Description

Fits a proportional hazards calibration model for time-to-exposure from interval-censored data with covariates. The exposure is a binary covariate measured in intermittent times. The covariates (Q) are associated with the time-to-exposure.

Usage

FitCalibCox(w, w.res, Q, hz.times, n.int = 5, order = 2)

Arguments

w	A matrix of time points when measurements on the binary covariate were obtained.
w.res	A matrix of measurement results of the binary covariate. It corresponds to the time points in w
Q	Matrix of covariates for PH calibration model
hz.times	Times used for calculating the baseline hazard function from PH calibration model
n.int	The number of interior knots to be used, see ICsurv::fast.PH.ICsurv.EM, Default: 5
order	the order of the basis functions. See ICsurv::fast.PH.ICsurv.EM, Default: 2

Value

An object created by ICsurv::fast.PH.ICsurv.EM, with additional variables knots and order.

See Also

fast.PH.ICsurv.EM

Examples

sim.data <- ICcalib:::SimCoxIntervalCensCox(n.sample = 200, lambda = 0.1, 
                                            alpha = 0.25, beta0 = 0, 
                                            gamma.q = c(log(0.75), log(2.5)), 
                                            gamma.z = log(1.5), mu = 0.2, 
                                            n.points = 2)
# The baseline hazard for the calibration model is calculated in observation times
cox.hz.times <- sort(unique(sim.data$obs.tm)) 
# Fit proprtional hazards calibration model
FitCalibCox(w = sim.data$w, w.res = sim.data$w.res, Q = sim.data$Q, 
            hz.times = cox.hz.times, n.int = 5, order = 2)

daniel258/CoxBinChange documentation built on May 14, 2019, 3:42 p.m.