GSSE: Genotype-Specific Survival Estimation (original) (raw)
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.
Version: | 0.1 |
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Depends: | R (≥ 3.0.1) |
Imports: | Iso (≥ 0.0-17), splines, stats, zoo (≥ 1.7-12) |
Suggests: | MASS |
Published: | 2015-10-20 |
DOI: | 10.32614/CRAN.package.GSSE |
Author: | Baosheng Liang, Yuanjia Wang and Donglin Zeng |
Maintainer: | Baosheng Liang |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
In views: | Survival |
CRAN checks: | GSSE results |
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