| Document Type
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BL
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| Record Number
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1011950
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| Doc. No
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b766320
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| Main Entry
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Walker, Glenn A.
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| Title & Author
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Common statistical methods for clinical research with SAS examples /\ Glenn A. Walker and Jack Shostak.
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| Edition Statement
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3rd ed.
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| Publication Statement
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Cary, N.C. :: SAS Institute,, ©2010.
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| Page. NO
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1 online resource ([xiv, 536] pages) :: illustrations
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| ISBN
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160764228X
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: 1607644258
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: 9781607642282
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: 9781607644255
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9781607642282
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| Bibliographies/Indexes
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Includes bibliographical references (pages 517-520) and index.
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| Contents
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Introduction & basics -- Topics in hypothesis testing -- The data set TRIAL -- The one-sample t-test -- The two-sample t-test -- One-way ANOVA -- Two-way ANOVA -- Repeated measure analysis -- The crossover design -- Linear regression -- Analysis of covariance -- The Wilcoxon signed-rank test -- The Wilcoxon rank-sum test -- The Kruskal-Wallis test -- The binomial test -- The Chi-square test -- Fisher's exact test -- McNemar's test -- The Cochran-Mantel-Haenszel test -- Logistic regression -- The log-rank test -- The Cox proportional hazards model -- Exercises.
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| Abstract
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"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"--Resource description page.
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| Subject
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Medicine-- Research-- Statistical methods.
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Health Biological Sciences.
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MATHEMATICS-- Graphic Methods.
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Medical Research.
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Medicine-- Research-- Statistical methods.
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| Subject
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Medicine-- Research-- Statistical methods.
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| Subject
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Medicine.
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| Subject
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SAS (Computer file)
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SAS (Computer file)
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SAS (Computer file)
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| Dewey Classification
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001.4/226
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| LC Classification
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R853.S7W35 2010
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| Added Entry
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SAS Institute.
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