Applied medical statistics using SAS

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Bibliographic Details
Main Authors: Der Geoff.
Group Author: Everitt Brian.
Published: CRC Press,
Publisher Address: Boca Raton, FL
Publication Dates: c2013.
Literature type: Book
Language: English
Subjects:
Carrier Form: xv, 541 p.: ill. ; 24 cm.
ISBN: 9781439867976 (hardcover : alk. paper)
1439867976 (hardcover : alk. paper)
Index Number: R319
CLC: R319
Call Number: R319/D427
Contents: Includes bibliographical references and index.
Introduction to SAS -- Statistics and measurement -- Clinical trials -- Epidemiology -- Meta analysis -- Anova -- Regression -- Multiple regression -- Logistic regression -- Generalized linear models -- Generalized additive models -- Longitudinal data analysis I -- Longitudinal data analysis II : linear mixed effects models for normal response variables -- Longitudinal data analysis III : non-normal responses -- Survival analysis -- Cox regression -- Bayesian methods -- Missing data.
"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.