New Developments in Statistical Modeling, Inference and Application

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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Bayesian;clinical trials;clinical trial design;diagnostic medicine;high-dimensional data mining;modeling;data analysis;personalized medicine;innovative clinical design;model misspecification;clinical trial analysis;futility design;Bayesian statistics;applied statistics;data mining