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
Summary
"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
Bibliography
Includes bibliographical references and index
Notes
Online resource; title from PDF title page (EBSCOHost website, viewed Feb. 11, 2014)
