ADV MEDICAL STATISTICS (2ND ED)

by Ying Lu (Editor), Ji-qian Fang (Editor), Lu Tian (Editor), Hua Jin (Editor)

Overview

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.

Product Details

ISBN-13:	9789814583329
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	06/29/2015
Sold by:	Barnes & Noble
Format:	eBook
Pages:	1472
File size:	27 MB
Note:	This product may take a few minutes to download.

Table of Contents

	Preface	v
	About the Editors	ix
Section 1.	Statistical Methods in Biomedical Research	1
Chapter 1.	History of Statistical Thinking in Medicine	3
Chapter 2.	Evaluation of Diagnostic Test's Accuracy in the Presence of Verification Bias	21
Chapter 3.	Statistical Methods for Dependent Data	45
Chapter 4.	Statistics used in Quality Control, Quality Assurance, and Quality Improvement in Radiological Studies	101
Chapter 5.	Cost-Effectiveness Analysis and Evidence-Based Medicine	157
Chapter 6.	Quality of Life: Issues Concerning Assessment and Analysis	195
Chapter 7.	Meta-Analysis	233
Chapter 8.	Describing Data, Variability and Over-Dispersion in Medical Research	319
Chapter 9.	Time Series Analysis And Its Applications in Medical Sciences	333
Chapter 10.	Applications of Statistical Methods in Medical Imaging	379
Section 2.	Statistical Methods in Pharmaceutical Research	407
Chapter 11.	Statistics in Pharmacology and Pre-Clinical Studies	409
Chapter 12.	Statistics in Biopharmaceutical Research	443
Chapter 13.	Statistics in Toxicology	495
Chapter 14.	Some Statistical Issues of Relevence to Confirmatory Trials	523
Section 3.	Statistical Methods in Epidemiology	581
Chapter 15.	Statistics in Genetics	583
Chapter 16.	Does-Response Modeling in Health Risk Assessment	617
Chapter 17.	Statistical Models and Methods in Infectious Diseases	645
Chapter 18.	Special Models for Sampling Survey	685
Chapter 19.	The Use of Capture-Recapture Methodology in Epidemiological Surveillance	711
Chapter 20.	Statistical Methods in the Effect Evaluation of Mass Screening for Diseases	741
Chapter 21.	Causal Inference	777
Section 4.	Advanced Statistical Theory and Methods	813
Chapter 22.	Survival Analysis	815
Chapter 23.	Regression Models for the Analysis of Longitudinal Data	837
Chapter 24.	Local Modeling: Density Estimation and Nonparametric Regression	885
Chapter 25.	Bayesian Methods	933
Chapter 26.	Stochastic Process and Their Applications in Medical Science	991
Chapter 27.	Tree-Based Methods	1033
Chapter 28.	Maximum Likelihood Estimation From Incomplete Data via EM-Type Algorithms	1051
Chapter 29.	Introduction to Artificial Neural Networks	1073
	Index	1091