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Subject: Biostatistics.
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by
Wang, Yiqing, author.
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statistical inference. The proposed models have been illustrated in extensive simulation studies and we apply
by
Rennert, Lior, author.
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coefficient estimators and have little bias in small samples. We use these proposed methods to assess the
by
Hosseini, Mina, author.
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investigated via simulation studies. Both approaches, the WGEE method and the Maximum Likelihood (ML) approach
by
Gauran, Iris Ivy M., author.
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considerably small. Based on the simulation studies, the full Bayesian methods have the ability to control FDR
by
Chu, Chenghao, author.
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specially yet widely encountered case in the second model. We applied the proposed methods to a data set
by
Liang, Xiaoyu, author.
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and compare the powers of our methods with the powers of some existing methods. Our simulation studies
by
Hu, Yu, author.
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simulation and real data analyses. In summary, methods developed in my dissertation provide biomedical
by
Li, Kan, author.
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developed. We conduct extensive simulation studies to assess the performance of our proposed methods. The
by
Qiu, Xin, author.
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to existing methods on both overall sample and subgroups via extensive simulation studies. Lastly, we
by
Maitra, Poulami, author.
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scheme. Valid statistical methods that take into account the correlation between the events from the same
by
Yan, Donglin, author.
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estimated probabilities of each set of skeletons. Simulation functions are included in this R package so
by
Jiang, Wei, author.
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Excerpt:
significance level. Simulation experiments show that our method can provide more power than traditional methods
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