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Multiple comparisons and multiple te...

SAS Institute.

Multiple comparisons and multiple tests using SAS /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multiple comparisons and multiple tests using SAS // Peter H. Westfall, Randall D. Tobias, Russell D. Wolfinger.
作者:	Westfall, Peter H.,
其他作者:	Wolfinger, Russell Dean.
出版者:	Cary, N.C. :SAS Institute, : c2011.,
版本:	2nd ed.
面頁冊數:	xviii, 625 p. :ill. ; : 28 cm.;
附註:	Updated for SAS 9 and later.
提要註:	Designed for the researcher or scientist in pharmaceuticals, engineering, government, or medicine, includes specialized macros and dozens of real-world examples to illustrate solutions for a broad variety of problems that call for multiple inferences. Covers the pitfalls and advantages of various methods. Includes specialized code and explanations throughout. 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.
標題:	Numerical Analysis, Computer-Assisted. -
ISBN:	9781607647836 (hard) :

Multiple comparisons and multiple tests using SAS /
Westfall, Peter H.,1957-

Multiple comparisons and multiple tests using SAS /Peter H. Westfall, Randall D. Tobias, Russell D. Wolfinger. - 2nd ed. - Cary, N.C. :SAS Institute,c2011. - xviii, 625 p. :ill. ;28 cm.

Updated for SAS 9 and later.

Includes bibliographical references (p. [605]-613) and index.

Introduction -- Concepts and basic methods for multiple comparisons and tests -- Overview of simultaneous confidence interval and testing methods in linear models -- Multiple comparisons among treatment means in te one-way balanced ANOVA -- Multiple comparisons among treatment means in the one-way unbalanced ANOVA -- Multiple comparisons in one-way ANCOVA models -- Using the ESTIMATE statement for tailor-made multiple comparisons -- Multiple comparisons in two-way and higher-way ANOVA and ANCOVA -- Multiple inferences for infinite sets of paremeters; confidence bands for regression functions -- Approximate multiple comparisons under heteroscedasticity -- Multiple comparisons in normally distributed models with non-independent observations -- Approximate (large-sample) multiple comparisons in parametric non-normally distributed models with independent or dependent observations -- Closed and stepwise testing methods -- Closed testing of pairwise comparisons and general contrasts -- Applying multiple comparisons procedures using PRC PLM -- Bootstrap and permutation-based multiple comparisons in univariate and multivariate models using PROC MULTTEST -- Multiple comparisons with binary data using PROC MULTTEST -- Power and sample size in simultaneous inference -- False discovery rate controlling methods -- Bayesian and decision theoretic methods -- JMP software for multiple comparisons -- Large-scale applications -- Additional topics.

Designed for the researcher or scientist in pharmaceuticals, engineering, government, or medicine, includes specialized macros and dozens of real-world examples to illustrate solutions for a broad variety of problems that call for multiple inferences. Covers the pitfalls and advantages of various methods. Includes specialized code and explanations throughout. 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.

ISBN: 9781607647836 (hard) :NT2208Subjects--Uniform Titles:

SAS (Computer file)
Subjects--Topical Terms:

360395
Numerical Analysis, Computer-Assisted.

LC Class. No.: QA278.4 / .W47 2011

Dewey Class. No.: 519.5/35

National Library of Medicine Call No.: QA 278.4 / W527m 2011

Multiple comparisons and multiple tests using SAS /
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100 1 $a Westfall, Peter H., $d 1957- $3 360390
245 1 0 $a Multiple comparisons and multiple tests using SAS / $c Peter H. Westfall, Randall D. Tobias, Russell D. Wolfinger.
250 $a 2nd ed.
260 $a Cary, N.C. : $c c2011. $b SAS Institute,
300 $a xviii, 625 p. : $b ill. ; $c 28 cm.
500 $a Updated for SAS 9 and later.
504 $a Includes bibliographical references (p. [605]-613) and index.
505 0 $a Introduction -- Concepts and basic methods for multiple comparisons and tests -- Overview of simultaneous confidence interval and testing methods in linear models -- Multiple comparisons among treatment means in te one-way balanced ANOVA -- Multiple comparisons among treatment means in the one-way unbalanced ANOVA -- Multiple comparisons in one-way ANCOVA models -- Using the ESTIMATE statement for tailor-made multiple comparisons -- Multiple comparisons in two-way and higher-way ANOVA and ANCOVA -- Multiple inferences for infinite sets of paremeters; confidence bands for regression functions -- Approximate multiple comparisons under heteroscedasticity -- Multiple comparisons in normally distributed models with non-independent observations -- Approximate (large-sample) multiple comparisons in parametric non-normally distributed models with independent or dependent observations -- Closed and stepwise testing methods -- Closed testing of pairwise comparisons and general contrasts -- Applying multiple comparisons procedures using PRC PLM -- Bootstrap and permutation-based multiple comparisons in univariate and multivariate models using PROC MULTTEST -- Multiple comparisons with binary data using PROC MULTTEST -- Power and sample size in simultaneous inference -- False discovery rate controlling methods -- Bayesian and decision theoretic methods -- JMP software for multiple comparisons -- Large-scale applications -- Additional topics.
520 $a Designed for the researcher or scientist in pharmaceuticals, engineering, government, or medicine, includes specialized macros and dozens of real-world examples to illustrate solutions for a broad variety of problems that call for multiple inferences. Covers the pitfalls and advantages of various methods. Includes specialized code and explanations throughout. 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.
630 0 0 $a SAS (Computer file) $3 227249
650 2 $a Numerical Analysis, Computer-Assisted. $3 360395
650 2 $2 96060 $a Data Interpretation, Statistical. $3 219529
650 2 $2 96060 $a Multivariate Analysis. $3 234479
650 0 $a Multiple comparisons (Statistics) $x Data processing. $3 360394
700 1 $a Wolfinger, Russell Dean. $3 360392
700 1 $a Tobias, R. D. $q (Randall Davis) $3 360391
710 2 $a SAS Institute. $3 360393