Advanced Medical Statistics (2nd Edition) (Hardcover, 2nd Revised edition)

The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	August 2015
First published:	2015
Editors:	Ying Lu • Ji-Qian Fang • Lu Tian • Hua Jin
Dimensions:	166 x 234 x 52mm (L x W x T)
Format:	Hardcover
Pages:	1472
Edition:	2nd Revised edition
ISBN-13:	978-981-4583-29-9
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	981-4583-29-4
Barcode:	9789814583299

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