Applied medical statistics using SAS
By: Geoff Der, Brian S. Everitt
Contributors: Everitt, Brian
Edition: 2nd ed.
Publisher: Taylor & Francis; Chapman and Hall/CRC
Published: 2012
Place of publication: Boca Raton
Language: eng
Number of pages: 559
ISBN-13: 9781439867976
Subjects: SAS (Computer file); Statistical Data Interpretation; Mathematical Computing
Description: "Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online"--Provided by publisher.
Notes: Rev. ed. of: Statistical analysis of medical data using SAS. 2006.

Includes bibliographical references and index.
Table of contents: title: Introduction to SAS; title: Statistics and measurement; title: Clinical trials; title: Epidemiology; title: Meta analysis; title: Anova; title: Regression; title: Multiple regression; title: Logistic regression; title: Generalized linear models; title: Generalized additive models; title: Longitudinal data analysis I; title: Longitudinal data analysis II : linear mixed effects models for normal response variables; title: Longitudinal data analysis III : non-normal responses; title: Survival analysis; title: Cox regression; title: Bayesian methods; title: Missing data.