UNEQUALCENSIMPUTEWEIB_TR: UNEQUALCENSIMPUTEWEIB_TR

Description Usage Arguments Value Author(s)

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

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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

Author(s)

Lauren J Beesley, [email protected]


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