Methods and Applications of Statistics in the Life and Health Sciences - Tapa dura

Acerca del autor

N. Balakrishnan, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Canada. Dr. Balakrishnan is coeditor of Wiley's Encyclopedia of Statistical Sciences, Second Edition and also serves as Editor in Chief of Communications in Statistics. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Balakrishnan is the coauthor of Precedence-Type Tests and Applications and A Primer on Statistical Distributions, both published by Wiley.

De la contraportada

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research

Data collection plays an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends, identify problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are used across modern life and health sciences research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of underlying quantitative techniques and illustrates their relevance to research in related disciplines such as biology, epidemiology, clinical trials, and public health.

Uniquely combining established literature with cutting-edge research, this volume features classic articles from the acclaimed Encyclopedia of Statistical Sciences, Second Edition and more than twenty-five new articles and completely revised contributions. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including:

• Sequential methods in biomedical research

• Statistical measures of human quality of life

• Change-point methods in genetics

• Sample size determination for clinical trials

• Mixed-effects regression models for predicting preclinical disease

• Probabilistic and statistical models for conception

Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences.

With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.