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New Developments in Statistical Modeling, Inference and Application

Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR - Previously published in hardcover
BuchKartoniert, Paperback
214 Seiten
Englisch
Springererschienen am14.06.2018Softcover reprint of the original 1st ed. 2016
The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon.mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49

Produkt

KlappentextThe papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon.
Details
ISBN/GTIN978-3-319-82611-0
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2018
Erscheinungsdatum14.06.2018
AuflageSoftcover reprint of the original 1st ed. 2016
ReiheICSA Book Series in Statistics
Seiten214 Seiten
SpracheEnglisch
Gewicht355 g
IllustrationenXIV, 214 p. 33 illus., 16 illus. in color.
Artikel-Nr.48465775

Inhalt/Kritik

Inhaltsverzeichnis
Part I: Theoretical Development in Statistical Modeling1. Dual Model Misspecification in Generalized Linear Models with Error in VariablesXianzheng Huang 2. Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random EffectsYang Li, Xin He, Haiying Wang and Jianguo Sun 3. A Markov Switching Model with Stochastic Regimes with Application to Business Cycle AnalysisHaipeng Xing, Ning Sun and Ying Chen4. Revisiting Regression Analysis under Link ViolationYuexiao Dong and Zhou Yu Part II: New Developments in Trial Design5. Futility Boundary Design Based on Probability of Clinical Success under New Drug Development ParadigmYijie Zhou, Ruji Yao, Bo Yang and Ramachandran Suresh 6. Bayesian Modeling of Time Response and Dose Response for Predictive Interim Analysis of a Clinical TrialMing-Dauh Wang, Dominique A Williams, Elisa V Gomez, and Joyti N Rayamajhi 7. An ROC Approach to Evaluate interim Go/No-Go Decision-making Quality with Application to Futility Stopping in the Clinical Trial DesignsDeli Wang, Lu Cui, Lanju Zhang and Bo Yang Part III: Novel Applications and Implementation8. Recent Advancements in Geovisualization, with a Case Study on Chinese ReligionsJurgen Symanzik, Shuming Bao, XiaoTian Dai, Miao Shui and Bing She 9. The Efficiency of Next-Generation Gibbs-Type Samplers: An Illustration Using a Hierarchical Model in CosmologyXiyun Jiao, David A. van Dyk, Roberto Trotta and Hikmatali Shariff 10. Dynamic Spatial Pattern Recognition in Count Data Xia Wang, Ming-Hui Chen, Rita C. Kuo and Dipak K. Dey 11. Bias-corrected Estimators of Scalar Skew NormalGuoyi Zhang and Rong Liumehr

Schlagworte

Autor

Zhezhen Jin, Ph.D., is Professor of Biostatistics in the Department of Biostatistics, Mailman School of Public Health, Columbia University. He is a Fellow of the American Statistical Association. His research interests include survival analysis, resampling methods, longitudinal data analysis, and nonparametric and semiparametric models. Dr. Jin has collaborated on research in the areas of cardiology, neurology, cancer and epidemiology and is co-founding editor of Contemporary Clinical Trials Communications.

Mengling Liu, Ph.D., is Associate Professor and Interim Director of the Division of Biostatistics in the Department of Population Health and the Department of Environmental Medicine at the New York University School of Medicine. Dr. Liu's research interests include semiparametric modeling and inference for survival data, joint analysis with longitudinal data, statistical genetics, statistical modeling in epidemiology studies andother types of risk-set sampling studies. She is engaged in a broad range of collaborative projects in the area of cancer epidemiology, pulmonary disease, cardiovascular disease, and environmental health science.



Xiaolong Luo, Ph.D., is Senior Director of Statistics with Celgene Corporation. Dr. Luo has many years of experience in the design, conduct, and analysis of clinical trials. Prior to joining Celgene, he was a Director of Statistics with Johnson & Johnson and a Senior Research Biostatistician with Bristol-Meyers Squibb. He served as a faculty member at St. Jude Children's Research Hospital before joining industry.
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Herausgegeben:Jin, Zhezhen