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Synopsis
Does your work require multiple inferences? Are you a statistics teacher looking for a study guide to supplement the usually incomplete or outdated multiple comparisons/multiple testing material in your textbook? This workbook, the companion guide written specifically for use with Multiple Comparisons and Multiple Tests Using the SAS System, provides the supplement you need. Use this workbook and you will find problems and solutions that will enhance your understanding of the material within the main text. The workbook also provides updated information about multiple comparisons procedures, including enhancements for SAS 8.1. The chapters correlate with the chapters of the main text, and the format is clear and easy to use. This book and the companion text are quite useful as supplements for learning multiple comparisons procedures in standard linear models, multivariate analysis, categorical analysis, and regression and nonparametric statistics.
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About the Author
Peter H. Westfall, PhD
Peter H. Westfall, PhD, Professor of Statistics, Department of Information Systems and Quantitative Sciences, Texas Tech University, has acted as a consultant for several large pharmaceutical companies an author (with S. Stanley Young) of Resampling-Based Multiple Testing: Examples and Methods for P-V Adjustment.
Randall D. Tobias, PhD
Randall D. Tobias, PhD principal developer for the GLM procedure and manager of linear models reasearc development at SAS Institute, has implemented numerous multiple comparisons capabilities for the GLM MIXED Procedures.
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