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by
Shen, Lei, author.
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estimator. Finally, in order to illustrate the performance of the proposed methods in short and medium
by
Stanley, Sarah, author.
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-parametric methods for estimating a covariate-adjusted ROC. These methods utilize GLMs for binary data with an
by
Wang, Yiqing, author.
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statistical inference. The proposed models have been illustrated in extensive simulation studies and we apply
by
Cheng, Chen, author.
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studies are illustrated by both simulation and real data analysis. Chapter 3 describes future application
by
Kaukis, Nicholas Armstrong, author.
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methods are explored. Simulation is used to compare the modified estimators to the standard estimators. It
by
Ellis, Amanda R., author.
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computation time when fitting the model. Additionally, methods previously applied to record linkage problems
by
Hosseini, Mina, author.
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investigated via simulation studies. Both approaches, the WGEE method and the Maximum Likelihood (ML) approach
by
Natarajan, Balasubramaniam, author.
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evaluated via both a simulation study and a real data application. The results presented and validated in
by
Dong, Junyi, author.
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distribution function or on the conditional expectation and thus it is alway valid. I present the simulation
by
Nguyen, Yet, author.
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may be detrimental to RNA-seq analysis. We show through simulation that our methods outperform methods
by
Chen, Ziyue, author.
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general, we show via simulation study that the variance methods perform equally well, but the bootstrap
by
Tànfani, Elena.
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research on rare diseases -- Integrating simulation and risk-based sensitivity analysis methods in hospital