New Developments in Statistical Modeling, Inference and Application (eBook, PDF)

Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

• Format: PDF

Produktbeschreibung

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. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 28. Oktober 2016
• Englisch
• ISBN-13: 9783319425719
• Artikelnr.: 46924843

Autorenporträt

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.

Inhaltsangabe

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
Jürgen 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