Topics in Applied Statistics: 2012 Symposium of the International Chinese Statistical Association

ISBN-13: 9781493947492 / Angielski / Miękka / 2016 / 344 str.

Mingxiu Hu; Yi Liu; Lin Jianchang

Opis

This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the whole statistical community and a variety of research interests. The papers represent select contributions to the 21^st ICSA Applied Statistics Symposium. The International Chinese Statistical Association (ICSA) Symposium took place between the 23^rd and 26^th of June, 2012 in Boston, Massachusetts. It was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the inaugural proceedings volume to share research from the ICSA Applied Statistics Symposium.

Spis treści

​Bayesian statistics in clinical trials.- High-dimensional data analysis:   Survival analysis.- Adaptive designs.- Statistics in Business and Finance.- Biomarker analysis.- Statistical genetics and genomics.- Data mining and statistical learning.

O autorze

This volume is presented by the International Chinese Statistical Association (ICSA).

Blurb

The 21^st ICSA Applied Statistics Symposium took place between the 23^rd and 26^th of June, 2012 in Boston, Massachusetts. The Symposium was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the first proceedings volume to share research from the ICSA Applied Statistics Symposium. The volume consists of 27 selected papers from topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers as broad as possible to serve the whole statistical community and the vast variety in research interests.