UNEQUALCENSIMPUTEWEIB_TR: UNEQUALCENSIMPUTEWEIB_TR

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

Description

The function UNEQUALCENSIMPUTEWEIB_TR will perform an imputation algorithm to handle unequal follow-up for recurrence and death. This function can be applied when we assume WEIBULL baseline hazards and 'T_R' is included in the model for Recurrence -> Death. Rather than imputing new values of YR using rejection sampling, this function performs imputation through inverting the survival function of the target distribution.

Usage

UNEQUALCENSIMPUTEWEIB_TR(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

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.