GSSE: Genotype-Specific Survival Estimation
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 |
| Depends: |
R (≥ 3.0.1) |
| Imports: |
Iso (≥ 0.0-17), splines, stats, zoo (≥ 1.7-12) |
| Suggests: |
MASS |
| Published: |
2015-10-20 |
| Author: |
Baosheng Liang, Yuanjia Wang and Donglin Zeng |
| Maintainer: |
Baosheng Liang <liangbsunc at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| In views: |
Survival |
| CRAN checks: |
GSSE results |
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