UNEQUALCENSIMPUTECOXMH: UNEQUALCENSIMPUTECOXMH

Description Usage Arguments Value

View source: R/OutcomeImputationCOXMH.R

Description

The function UNEQUALCENSIMPUTECOXMH will perform an imputation algorithm to handle unequal follow-up for recurrence and death. This function can be applied when we assume COX baseline hazards. This function performs imputation using a Metropolis-Hastings algorithm. The proposal distribution is Uniform with bounds such that the target kernel is nonzero.

Usage

1
UNEQUALCENSIMPUTECOXMH(datWIDE, beta, alpha, 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

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

  • Basehaz13: A matrix containing the estimate of the baseline hazard function for the 1->3 transition specified intervals

  • Basehaz24: A matrix containing the estimate of the baseline hazard function for the 2->4 transition specified intervals

  • Basehaz14: A matrix containing the estimate of the baseline hazard function for the 1->4 transition specified intervals

  • Basehaz34: A matrix containing the estimate of the baseline hazard function for the 3->4 transition specified intervals

  • YRImpSAVE: A vecotr with the most recent ACCEPTED values of Y_R from the Metropolis-Hastings algorithm

TransCov

defined as in MultiCure

Value

a list containing


lbeesleyBIOSTAT/MultiCure documentation built on April 18, 2018, 11:08 p.m.