varLLFam: Log-Likelihood of the Frailty Variance for the Discrete-Time...

In groupedSurv: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function

Log-Likelihood of the Frailty Variance for the Discrete-Time Frailty Model

Description

A method to compute the log-likelihood of the frailty variance for a frailty model accounting for family structure of related individuals (e.g., trios). The input data is assumed to be organized such that records for each family occur consecutively, and that records for offspring precede those for parents. The variance matrix for the random effects is assumed to be of the form var*K, where K is a matrix of kinship coefficients between family members. The following groupings are permitted: (Individual), (Offspring, Offspring), (Offspring, Parent), (Offspring, Parent, Parent), and (Offspring, Offspring, Parent, Parent). Other family structures have not been implemented.

Usage

  varLLFam(x, fam_group, fam_role, alpha, var, gtime, delta, beta=0)  	

Arguments

x	Vector of numeric variables of interest for each sample.
fam_group	Vector of family IDs for each sample.
fam_role	Vector of indicators for the role within a family of each sample, i.e., {"Offspring","Mother","Father"}, or {"o","m","f"}.
alpha	Vector of baseline survival rates for each time interval.
var	Scalar for frailty variance.
gtime	Vector of observed survival times for each sample.
delta	Vector of event indicators for each sample: 1 indicates observed event, 0 indicates censored.
beta	Scalar for the fixed effect size. Default is 0.

Value

Scalar for the log-likelihood of the frailty variance.

Examples

# Generate dummy data	
x     <- c(0, 1, 1, 1, 2, 2, 0, 0, 0)
fam_group <- c('1', '1', '1', '2', '2', '2', '3', '3', '3')
fam_role <- c("o","f","m","o","f","m","o","f","m")
alpha <- c(0.7500000, 0.6666667, 0.5000000, 0.0000000)
var <- 0.1
gtime <- c(1, 3, 3, 2, 1, 1, 2, 3, 1)
delta <- c(1, 0, 1, 1, 1, 0, 1, 0, 1)
beta  <- 1.0

#res   <- varLLFam(x, fam_group, fam_role, alpha, var, gtime, delta, beta) 
#res

groupedSurv documentation built on Sept. 29, 2023, 1:06 a.m.