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

Editors: Zhezhen Jin, Mengling Liu, Xiaolong Luo



The most timely and advanced contributions from the joint 2014 ICSA/KISS Applied Statistics Symposium

All papers feature original, peer-reviewed content

Coverage consists of new developments in statistical modeling and clinical research including  model development, model checking, and innovative clinical trial design and analysis

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.

Table of contents

Front Matter

Theoretical Development in Statistical Modeling
• Front Matter
• Dual Model Misspecification in Generalized Linear Models with Error in Variables
• Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effects
• A Markov Switching Model with Stochastic Regimes with Application to Business Cycle Analysis
• Direction Estimation in a General Regression Model with Discrete Predictors

New Developments in Trial Design
• Front Matter
• Futility Boundary Design Based on Probability of Clinical Success Under New Drug Development Paradigm
• Bayesian Modeling of Time Response and Dose Response for Predictive Interim Analysis of a Clinical Trial
• An ROC Approach to Evaluate Interim Go/No-Go Decision-Making Quality with Application to Futility Stopping in the Clinical Trial Designs

Novel Applications and Implementation
• Front Matter
• Recent Advancements in Geovisualization, with a Case Study on Chinese Religions
• The Efficiency of Next-Generation Gibbs-Type Samplers: An Illustration Using a Hierarchical Model in Cosmology
• Dynamic Spatial Pattern Recognition in Count Data
• Bias-corrected Estimators of Scalar Skew Normal


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