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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
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
Shen, Lei, author.
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estimator. Finally, in order to illustrate the performance of the proposed methods in short and medium
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
Hosseini, Mina, author.
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investigated via simulation studies. Both approaches, the WGEE method and the Maximum Likelihood (ML) approach
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
Ellis, Amanda R., author.
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computation time when fitting the model. Additionally, methods previously applied to record linkage problems
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
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
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
by
Garcia, Jose Alfonso Campillo, author.
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is high dimensional. A simulation exercise shows the benefits of using a robust t-test exposing the
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
Zhou, Xuan, author.
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misclassification rates and significantly improved computational speed when compared to existing methods.
by
Zhu, Huanhuan, author.
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evaluate the performance of these methods. The results show that WCmulP outperforms the compared methods in
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
Yang, Xinlan, author. (orcid)0000-0003-1321-1571
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. Simulation studies showed that the PE method controls the type I error rates very well and has consistently
by
Wang, Zhenchuan, author.
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studies, we compared the performance of TOWmuT with the following five existing methods: gene association
by
Edirisinghe, Pasan Manuranga, author.
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latter. A simulation study for our new model shows that in terms of coverage probability, our novel two
by
Bowman, Adrian William, author.
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Chapter 2, three methods of density estimation are introduced, related and compared. These are the fixed
by
Fang, Youhan, author.
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challenging problems in machine learning, Bayesian statistics, and the simulation of materials. Markov Chain
by
Glotzer, Dylan, author.
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estimator of the long-run variance which improves on other natural candidate estimators. A simulation study
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
Syring, Nicholas Aaron, author.
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calibrated to their nominal frequency coverage probabilities. Simulation results demonstrate that the
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