Free PDF Common Statistical Methods for Clinical Research with SAS Examples, Third EditionBy Glenn Walker Ph.D., Jack Shostak
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Common Statistical Methods for Clinical Research with SAS Examples, Third EditionBy Glenn Walker Ph.D., Jack Shostak
Free PDF Common Statistical Methods for Clinical Research with SAS Examples, Third EditionBy Glenn Walker Ph.D., Jack Shostak
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Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place.
- Sales Rank: #634433 in Books
- Brand: Brand: SAS Institute
- Published on: 2010-03-26
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 1.25" w x 8.25" l, 2.70 pounds
- Binding: Paperback
- 552 pages
- Used Book in Good Condition
Review
A great introduction to both statistics and SAS and particularly how SAS is used for biostatistics and clinical trials. --Michael R. Chernick Ph.D., Director of Biostatistical Services, Lankenau Institute for Medical Research
From t-tests to logistic regression, this book covers it all. --Kimberly Nguyen, MS, MPH, Epidemiologist,Connecticut Department of Public Health
Offers an excellent statistics tutorial to experienced Base SAS users who want to learn which SAS/STAT procedure is the most appropriate for their data. --Karol Katz, M.S., Programmer Analyst, Department of Pediatrics, Yale University School of Medicine
About the Author
Now retired, Glenn Walker worked for twenty-eight years as a statistician in clinical trials and health-related research. He has worked as an independent consultant for clinical researchers in the biotechnology and pharmaceutical industries, including numerous CROs. A SAS user since 1976, Glenn received his PhD in statistics from the University of Florida, where, as a graduate student, he taught courses in statistics and on how to use SAS software. Jack Shostak is the associate director of statistics for the Duke Clinical Research Institute, where he oversees a team of statistical programmers and serves as a CDISC resource. A SAS user since 1985, he is the author of SAS Programming in the Pharmaceutical Industry, also published by SAS Press. Jack received his MBA from James Madison University. He is active in the Pharmaceutical Industry SAS Users Group (PharmaSUG) and SAS Global Forum.
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