New Developments in Statistical Modeling, Inference and Application: Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

Author:   Zhezhen Jin ,  Mengling Liu ,  Xiaolong Luo
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319425702


Pages:   214
Publication Date:   09 October 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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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


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Author:   Zhezhen Jin ,  Mengling Liu ,  Xiaolong Luo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.675kg
ISBN:  

9783319425702


ISBN 10:   3319425706
Pages:   214
Publication Date:   09 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Theoretical Development in Statistical Modeling 1. Dual Model Misspecification in Generalized Linear Models with Error in Variables Xianzheng Huang 2. Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effects Yang Li, Xin He, Haiying Wang and Jianguo Sun 3. A Markov Switching Model with Stochastic Regimes with Application to Business Cycle Analysis Haipeng Xing, Ning Sun and Ying Chen 4. Revisiting Regression Analysis under Link Violation Yuexiao Dong and Zhou Yu Part II: New Developments in Trial Design 5. Futility Boundary Design Based on Probability of Clinical Success under New Drug Development Paradigm Yijie Zhou, Ruji Yao, Bo Yang and Ramachandran Suresh 6. Bayesian Modeling of Time Response and Dose Response for Predictive Interim Analysis of a Clinical Trial Ming-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 Designs Deli Wang, Lu Cui, Lanju Zhang and Bo Yang Part III: Novel Applications and Implementation 8. Recent Advancements in Geovisualization, with a Case Study on Chinese Religions Jurgen 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 Cosmology Xiyun 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 Normal Guoyi Zhang and Rong Liu

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Author Information

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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