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.
|Author||Baosheng Liang, Yuanjia Wang and Donglin Zeng|
|Maintainer||Baosheng Liang <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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