Applied Medical Statistics Using SAS Now Available from CRC Press

Sept. 27, 2012 - PRLog -- Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data.

Features

Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation
Illustrates methods of randomisation that might be employed for clinical trials
Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation

Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health.

Praise for the First Edition:

This is a handy book that can serve the everyday purposes of statisticians and programmers working in the pharmaceutical industry. … The book has a reasonable coverage of statistical methods that are most commonly encountered in pharmaceutical settings. … All statistical methods are explained via examples with medical background. This will help readers learn when, why, and how a specific statistical method should and could be used in certain settings, and how to implement any particular statistical method in SAS. SAS code associated with each example is provided and the corresponding output is interpreted from both statistical and clinical standpoints. … I would recommend the book as one of the desktop dictionaries for statisticians or SAS programmers who deal with medical data on a daily basis, or as an introductory book for people who wish to gain some fundamental medical statistical techniques or SAS programming. …
—Xiaolei Li (GlaxoSmithKline), Pharmaceutical Statistics, 2008

This monograph introduces basic statistical methods and applications to medical data using SAS software. Each chapter is accompanied by a short description of methodology, detailed explanation of SAS program code for analysis of a real medical data set, and proper interpretation of SAS output. …
—Zentralblatt MATH, 1088

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http://www.crcpress.com/product/isbn/9781439867976

ISBN 9781439867976, October 2012, 559 pp