UNEQUALCENSIMPUTEWEIB: UNEQUALCENSIMPUTEWEIB

In lbeesleyBIOSTAT/MultiCure: EM Algorithms for Fitting Multistate Cure Models

Description

The function UNEQUALCENSIMPUTEWEIB will perform a rejection sampling algorithm to handle unequal follow-up for recurrence and death. This function is the default imputation method when we assume WEIBULL baseline hazards. We allow the user to specify the function UNEQUALCENSIMPUTE in MultiCure if desired, but we provide default method. When baseline hazards are WEIBULL, the input/output of user-written functions must match the input/output of this default function.

Usage

UNEQUALCENSIMPUTEWEIB(datWIDE, beta, alpha, scale, shape, ImputeDat, TransCov)

Arguments

datWIDE	defined as in MultiCure
beta	A vector containing the most recent estimates of beta
alpha	A vector containing the most recent estimates of alpha
scale	A vector containing the most recent estimates of scale
shape	A vector containing the most recent estimates of shape
ImputeDat	This is a list with the following elements: UnequalCens: A vector taking value 1 if the subject has unequal follow-up. Note: If subject is assumed cured in datWIDE, they are listed as UnequalCens = 0. CovMissing: A matrix indicating which elements of Cov are missing. Not needed for this imputation. CovImp: A list containing a single imputation of Cov GImp: A vector with a recent single imputation of G YRImp: A vector with a recent single imputation of Y_R deltaRImp: A vector with a recent single imputation of delta_R y: The integral of the target kernel over Yr0 to Yd
TransCov	defined as in MultiCure

Details

This function cannot be applied when 'T_R' is included in the model for Recurrence -> Death. In this case, use the function UNEQUALCENSIMPUTEWEIB_TR.

Value

a list containing

• [[1]]: deltaRImp, A single imputation of delta_R

• [[2]]: YRImp, A single imputation of Y_R

Author(s)

Lauren J Beesley, [e-mail]

lbeesleyBIOSTAT/MultiCure documentation built on July 10, 2019, 5:27 a.m.