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GSSE (version 0.1)

Genotype-Specific Survival Estimation

Description

We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees. We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function. The estimators are calculated via an expectation-maximization algorithm.

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Version

Install

install.packages('GSSE')

Monthly Downloads

122

Version

0.1

License

GPL (>= 2)

Maintainer

Last Published

October 20th, 2015

Functions in GSSE (0.1)

p0G_data

Data Set for Illustration of the `p0G' Calculation
Permutation_Test

Permutation Test
Sieve_NPMLE_Switch

Sieve_NPMLE_Switch function
p0G_Func

Probability Calculation of Relative's Mutation Status
EM_PAVA_Func

EM-PAVA function
Sieve_NPMLE_Bootstrap

Sieve_NPMLE_Bootstrap function
test_stat

Kolmogorov-Smirnov Test Statistic
Simulated_data

Simulated Parkinson's disease data
GSSE-package

Genotype-Specific Survival Estimation