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New Frontiers of Biostatistics and Bioinformatics (ICSA Book Series in Statistics)

معرفی کتاب «New Frontiers of Biostatistics and Bioinformatics (ICSA Book Series in Statistics)» نوشتهٔ Yichuan Zhao; Ding-Geng Chen; SpringerLink (Online service)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 2018. این کتاب در 3 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است. «New Frontiers of Biostatistics and Bioinformatics (ICSA Book Series in Statistics)» در دستهٔ بدون دسته‌بندی قرار دارد.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners. Front Matter ....Pages i-xxiv Front Matter ....Pages 1-1 Optimal Weighted Wilcoxon–Mann–Whitney Test for Prioritized Outcomes (Roland A. Matsouaka, Aneesh B. Singhal, Rebecca A. Betensky)....Pages 3-40 A Selective Overview of Semiparametric Mixture of Regression Models (Sijia Xiang, Weixin Yao)....Pages 41-65 Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random (Huybrechts F. Bindele, Yichuan Zhao)....Pages 67-86 Bayesian Nonparametric Spatially Smoothed Density Estimation (Timothy Hanson, Haiming Zhou, Vanda Inácio de Carvalho)....Pages 87-105 Front Matter ....Pages 107-107 Mammogram Diagnostics Using Robust Wavelet-Based Estimator of Hurst Exponent (Chen Feng, Yajun Mei, Brani Vidakovic)....Pages 109-140 Wavelet-Based Profile Monitoring Using Order-Thresholding Recursive CUSUM Schemes (Ruizhi Zhang, Yajun Mei, Jianjun Shi)....Pages 141-159 Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet Based Bootstrapping (Aline Edlaine de Medeiros, Eniuce Menezes de Souza)....Pages 161-174 A New Wavelet-Based Approach for Mass Spectrometry Data Classification (Achraf Cohen, Chaimaa Messaoudi, Hassan Badir)....Pages 175-189 Front Matter ....Pages 191-191 Statistical Power and Bayesian Assurance in Clinical Trial Design (Ding-Geng Chen, Jenny K. Chen)....Pages 193-200 Equivalence Tests in Subgroup Analyses (A. Ring, M. Scharpenberg, S. Grill, R. Schall, W. Brannath)....Pages 201-238 Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials (Jihnhee Yu, Albert Vexler)....Pages 239-255 Importance of Adjusting for Multi-stage Design When Analyzing Data from Complex Surveys (Trung Ha, Julia N. Soulakova)....Pages 257-268 Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs (Anarina L. Murillo, Hemant K. Tiwari, Olivia Affuso)....Pages 269-290 Statistical Modeling for the Heart Disease Diagnosis via Multiple Imputation (Lian Li, Yichuan Zhao)....Pages 291-302 Front Matter ....Pages 303-303 Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data (Bochao Jia, Faming Liang)....Pages 305-327 Performance Evaluation of Normalization Approaches for Metagenomic Compositional Data on Differential Abundance Analysis (Ruofei Du, Lingling An, Zhide Fang)....Pages 329-344 Identification of Pathway-Modulating Genes Using the Biomedical Literature Mining (Zhenning Yu, Jin Hyun Nam, Daniel Couch, Andrew Lawson, Dongjun Chung)....Pages 345-363 Discriminant Analysis and Normalization Methods for Next-Generation Sequencing Data (Yan Zhou, Junhui Wang, Yichuan Zhao, Tiejun Tong)....Pages 365-384 Front Matter ....Pages 385-385 On the Landmark Survival Model for Dynamic Prediction of Event Occurrence Using Longitudinal Data (Yayuan Zhu, Liang Li, Xuelin Huang)....Pages 387-401 Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data (Xu Zhang, Yong Jiang, Yichuan Zhao, Haci Akcin)....Pages 403-420 Empirical Study on High-Dimensional Variable Selection and Prediction Under Competing Risks (Jiayi Hou, Ronghui Xu)....Pages 421-440 Nonparametric Estimation of a Hazard Rate Function with Right Truncated Data (Haci Akcin, Xu Zhang, Yichuan Zhao)....Pages 441-456 Back Matter ....Pages 457-463 This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportuunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners
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