New Advances In Statistics And Data Science (icsa Book Series In Statistics)

This book is comprised of the presentations delivered at the 25 th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice. Front Matter ....Pages i-xxiii Front Matter ....Pages 1-1 Statistical Distances and Their Role in Robustness (Marianthi Markatou, Yang Chen, Georgios Afendras, Bruce G. Lindsay)....Pages 3-26 The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures (Georgios Afendras, Marianthi Markatou)....Pages 27-44 Meta-Analysis for Rare Events As Binary Outcomes (Gaohong Dong)....Pages 45-59 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling (Timothy E. O’Brien, Changwon Lim)....Pages 61-74 Testing of Multivariate Spline Growth Model (Tapio Nummi, Jyrki Möttönen, Martti T. Tuomisto)....Pages 75-85 Front Matter ....Pages 87-87 Uncertainty Quantification Using the Nearest Neighbor Gaussian Process (Hongxiang Shi, Emily L. Kang, Bledar A. Konomi, Kumar Vemaganti, Sandeep Madireddy)....Pages 89-107 Tuning Parameter Selection in the LASSO with Unspecified Propensity (Jiwei Zhao, Yang Yang)....Pages 109-125 Adaptive Filtering Increases Power to Detect Differentially Expressed Genes (Zixin Nie, Kun Liang)....Pages 127-136 Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesian Computation Approach (Hongxiao Zhu, Ruijin Lu, Chen Ming, Anupam K. Gupta, Rolf Müller)....Pages 137-160 A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood (Carol K. Sun, Wenyuan Li)....Pages 161-175 Front Matter ....Pages 177-177 A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial: Ordinal Linear Contrast Test (Yaohua Zhang, Qiqi Deng, Susan Wang, Naitee Ting)....Pages 179-196 Landmark-Constrained Statistical Shape Analysis of Elastic Curves and Surfaces (Justin Strait, Sebastian Kurtek)....Pages 197-216 Phylogeny-Based Kernels with Application to Microbiome Association Studies (Jian Xiao, Jun Chen)....Pages 217-237 Accounting for Differential Error in Time-to-Event Analyses Using Imperfect Electronic Health Record-Derived Endpoints (Rebecca A. Hubbard, Joanna Harton, Weiwei Zhu, Le Wang, Jessica Chubak)....Pages 239-255 Front Matter ....Pages 257-257 Modeling Inter-Trade Durations in the Limit Order Market (Jianzhao Yang, Zhicheng Li, Xinyun Chen, Haipeng Xing)....Pages 259-276 Assessment of Drug Interactions with Repeated Measurements (Shouhao Zhou, Chan Shen, J. Jack Lee)....Pages 277-291 Statistical Indices for Risk Tracking in Longitudinal Studies (Xin Tian, Colin O. Wu)....Pages 293-311 Statistical Analysis of Labor Market Integration: A Mixture Regression Approach (Tapio Nummi, Janne Salonen, Timothy E. O’Brien)....Pages 313-321 Bias Correction in Age-Period-Cohort Models Using Eigen Analysis (Martina Fu)....Pages 323-341 Back Matter ....Pages 343-348 This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency, Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the ?Challenge of Big Data and Applications of Statistics,? in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promotingƠfurther research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields.ƠThe topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency, Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the Challenge of Big Data and Applications of Statistics,in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting঵rther research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields.Ԩe topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice