Topics in Applied Statistics [electronic resource] : 2012 Symposium of the International Chinese Statistical Association /
International Chinese Statistical Association.Symposium(21st :2012 :Boston, Mass.)
Hu, Mingxiu.editor.
Liu, Yi.editor.
Lin, Jianchang.editor.
The 21st ICSA Applied Statistics Symposium took place between the 23rd and 26th 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.
Description based upon print version of record.
Includes bibliographical references.
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.
The 21st ICSA Applied Statistics Symposium took place between the 23rd and 26th 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.
Statistics .
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Social Sciences, Humanities, Law.