Applied Medical Statistics Using SAS

Geoff Der, Brian S. Everitt

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October 1, 2012 by Chapman and Hall/CRC
Professional - 559 Pages - 113 B/W Illustrations
ISBN 9781439867976 - CAT# K13087

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Features

  • Presents an accessible introduction to the analysis of medical data using SAS
  • Covers visualizing data, measurement, epidemiology, meta-analysis, Bayesian methods, and missing data
  • Provides SAS code and output throughout to give step-by-step practical advice
  • Focuses on those methods most commonly encountered in the analysis of medical data, including regression, longitudinal and survival data analysis, missing data, meta analyses and interim analysis, analysis of variance and covariance, GAMs, and Bayesian methods

Summary

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.

Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus

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