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Get Multiple Comparisons and Multiple Tests Using SAS, Second PDF

By Ph.D., Peter H. Westfall, Randall D. Tobias Ph.D., Russell D. Wolfinger Ph.D.

ISBN-10: 1607647834

ISBN-13: 9781607647836

New and commonly up-to-date for SAS nine and later! have you felt that there has been no a number of inference strategy that healthy the actual constraints of your info? Or been crushed by way of the various offerings of strategies? Multiple Comparisons and a number of exams utilizing SAS, moment Edition, written via Peter Westfall, Randall Tobias, and Russell Wolfinger, solves either difficulties for you by way of supplying state of the art tools, really good macros, and confirmed "best guess" methods. The really good macros and dozens of real-world examples illustrate ideas for a vast number of difficulties that decision for a number of inferences. The ebook additionally discusses the pitfalls and merits of varied tools, thereby assisting you choose that is the main acceptable in your reasons. while you're a researcher or scientist in prescription drugs, engineering, govt, or drugs, you can find many tools utilized to genuine information and examples out of your box. The ebook contains really good code and factors all through. It discusses intimately pairwise comparisons and comparisons with a regulate. extra subject matters comprise normal linear contrasts; a number of comparisons of multivariate potential; and a number of inferences with combined types, discrete facts, and survival research.

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Additional info for Multiple Comparisons and Multiple Tests Using SAS, Second Edition

Sample text

40 False Discovery Rate (FDR) ............................................................................. 4 Bonferroni and Šidák Methods .................................................................... 1 Adjusted p-Values ........................................................................................... 2 An Example with Multiple p-Values ................................................................. 3 Example: Multiple Comparisons from a Questionnaire ....................................

Or you might want to use an informal, graphically-based method, rather than any formal error-rate-controlling method at all. The following list contains major types of multiple inference methods, along with sections in the book where they are described. Confidence Interval-Based Methods These methods are useful for providing an explicit range of values for each parameter of interest. Such intervals are also useful for determining directional relationships and statistical significance. Confidence intervals are discussed in chapters 3 through 12.

The following list contains major statistical model classes covered in this book. Unstructured Models (or Models with Little Structure) These are models where little is assumed about distributions, correlations, etc. Nonparametric procedures fall in this class. The models for the actual data in this case may be quite complicated, but the assumption is that the analysis has been distilled down to a collection of pvalues. Multiple inference methods in this class consist essentially of adjusting these p-values for the purposes of making tests.

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Multiple Comparisons and Multiple Tests Using SAS, Second Edition by Ph.D., Peter H. Westfall, Randall D. Tobias Ph.D., Russell D. Wolfinger Ph.D.


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