Have you ever felt that there was no multiple inference method that fits the particular constraints of your data? Or been overwhelmed by the many choices of procedures? Multiple Comparisons and Multiple Tests Using SAS, written by Peter Westfall, Randall Tobias, Dror Rom, Russell Wolfinger, and Yosef Hochberg, solves both dilemmas for you by providing cutting-edge methods, specialized macros, and proven "best bet" procedures. The specialized macros and dozens of real-world examples illustrate solutions for a broad variety of problems that call for multiple inferences. The book also discusses the pitfalls and advantages of various methods, thereby helping you decide which is the most appropriate for your purposes. If you are a researcher or scientist in pharmaceuticals, engineering, government, or medicine, you will find many methods applied to real data and examples from your field. The book includes specialized code and explanations throughout. It discusses in detail pairwise comparisons and comparisons with a control. Additional topics include general linear contrasts; multiple comparisons of multivariate means; and multiple inferences with mixed models, discrete data, and survival analysis. Users with releases of SAS software prior to SAS 7 will need to make some modifications.
Book Description
Editorial Reviews
About the Author
Peter H. Westfall, Ph.D.
Peter H. Westfall, Ph.D., professor of Statistics, Department of Information
Systems and Quantitative Sciences, Texas Tech University, has acted as a
consultant for several large pharmaceutical companies and is an author of
Resampling-Based Multiple Testing: Examples and Methods for P-Value Adjustment.
Randall D. Tobias, Ph.D.
Randall D. Tobias, Ph.D., principal developer for the GLM procedure and
manager of linear models research and development at SAS Institute, has
implemented numerous multiple comparisons capabilities for the GLM and MIXED.
Procedures.
Dror Rom, Ph.D.
Dror Rom, Ph.D., President of Prosoft Software, Inc., specializes in
customized software development, Biostatistics, data management, and medical
writing of clinical and preclinical studies.
Russell D. Wolfinger, Ph.D.
Russell D. Wolfinger, Ph.D., Senior Research Statistician at SAS Institute,
has 15 years experience using the SAS System and is the developer for the
MIXED and MULTTEST procedures.
Yosef Hochberg, Ph.D.
Yosef Hochberg, Ph.D., professor in the School of Mathematical Sciences at
Tel Aviv University, has taught several courses in multiple comparisons.
He has published an impressive number of articles and technical reports on
various statistical methods and is an author (with Ajit Tamhane) of Multiple
Comparison Procedures.
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Inside This Book
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First Sentence:
Practically every day, you find in the newspaper or other popular press, some claim of association between a stimulus and outcome, with consequences for health or general welfare of the population at large. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
proc multtest, multiple tests using, sqfeet age, subset homogeneity hypotheses, best population mean, suppresses printed output, subset pivotality condition, options nonotes, nsamp times, call symput, lowercl uppercl, unadjusted intervals, rejective methods, pairwise hypotheses, unadjusted confidence intervals, test controls the type, closed testing procedures, intersection hypotheses, block detergent, multiplicity adjustment, unbalanced sample sizes, maximum modulus distribution, ods listing close, array dec, class blanket Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Concluding Remarks, Difference Simultaneous, Binary Data Using, Error Mean Square, System Output, Estimate Error Raw Bon Adj, Restricted Combinations, Step-Down Tests Standard, One-Way Balanced, Dependent Variable, Confidence Comparison Means Interval, Confidence Contrast Estimate Error, One-Way Unbalanced, Quantity Estimate, Value Raw Adjusted Interval, Stepdown Variable Contrast Raw Bonferroni, Stepdown Variable Contrast Raw Permutation, Additional Topics, Grouping Mean, Outcome High, Outcome Low, System Note, Incomplete Blocks, Mean Deviation New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Practically every day, you find in the newspaper or other popular press, some claim of association between a stimulus and outcome, with consequences for health or general welfare of the population at large. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
proc multtest, multiple tests using, sqfeet age, subset homogeneity hypotheses, best population mean, suppresses printed output, subset pivotality condition, options nonotes, nsamp times, call symput, lowercl uppercl, unadjusted intervals, rejective methods, pairwise hypotheses, unadjusted confidence intervals, test controls the type, closed testing procedures, intersection hypotheses, block detergent, multiplicity adjustment, unbalanced sample sizes, maximum modulus distribution, ods listing close, array dec, class blanket Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Concluding Remarks, Difference Simultaneous, Binary Data Using, Error Mean Square, System Output, Estimate Error Raw Bon Adj, Restricted Combinations, Step-Down Tests Standard, One-Way Balanced, Dependent Variable, Confidence Comparison Means Interval, Confidence Contrast Estimate Error, One-Way Unbalanced, Quantity Estimate, Value Raw Adjusted Interval, Stepdown Variable Contrast Raw Bonferroni, Stepdown Variable Contrast Raw Permutation, Additional Topics, Grouping Mean, Outcome High, Outcome Low, System Note, Incomplete Blocks, Mean Deviation New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 26
books:
See all 26 books this book cites
2
books
cite this book:
- Multiple Comparisons and Multiple Tests (Text and Workbook Set) by Peter H. Westfall on 11 pages
- Multiple Comparisons: Theory and Methods by Jason Hsu on 11 pages
- Categorical Data by Koch in Back Matter (1), and Back Matter (2)
- Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics) by Peter H. Westfall in Front Matter, and Back Matter
- Multiple Comparison Procedures (Wiley Series in Probability and Statistics) by Yosef Hochberg in Front Matter, and Back Matter
See all 26 books this book cites
- SAS Programming for Researchers and Social Scientists by Paul E. (Elliot) Spector in Back Matter
- SAS Programming for Researchers and Social Scientists by Paul E. (Elliot) Spector in Back Matter
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