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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.
Package details |
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Author | Baosheng Liang, Yuanjia Wang and Donglin Zeng |
Maintainer | Baosheng Liang <liangbsunc@gmail.com> |
License | GPL (>= 2) |
Version | 0.1 |
Package repository | View on CRAN |
Installation |
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