By: Ken Kleinman and Nicholas J Horton
298 pages, 32 illus, 4 tabs
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About this book
Contents
Customer reviews
Biography
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About this book
This book provides an overview of the use of SAS for data management, statistical analysis, and graphics.
Contents
Data Management.
Common Statistical Procedures.
Linear Regression and ANOVA.
Regression Generalizations.
Graphics.
Other Topics and Extended Examples.
Appendices.
Indices.
Customer Reviews
Biography
Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School in Boston, Massachusetts. His research deals with clustered data analysis, surveillance, and epidemiological applications in projects ranging from vaccine and bioterrorism surveillance to observational epidemiology to individual-, practice-, and community-randomized interventions. Nicholas J. Horton is an associate professor in the Department of Mathematics and Statistics at Smith College in Northampton, Massachusetts. His research interests include longitudinal regression models and missing data methods, with applications in psychiatric epidemiology and substance abuse research.
By: Ken Kleinman and Nicholas J Horton
298 pages, 32 illus, 4 tabs