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Primer of applied regression & analysis of variance / Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands
Books/Textual Material | McGraw-Hill Education | 2016 | Third edition.
Available at Gumberg 2nd Floor (QH323.5 .G56 2016)
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Imprint
New York : McGraw-Hill Education, [2016]
Descript
xxvii, 1,183 pages ; 25 cm
text txt rdacontent.
unmediated n rdamedia.
volume nc rdacarrier.
Bibliog.
Includes bibliographical references and index.
Contents
Why do multivariate analysis? -- The first step : understanding simple linear regression -- Regression with two or more independent variables -- Do the data fit the assumptions? -- Multicollinearity and what to do about it -- Selecting the "best" regression model -- Missing data -- One-way analysis of variance -- Two-way analysis of variance -- Repeated measures -- Mixing continuous and categorical variables : analysis of covariance -- Regression with a qualitative dependent variable : logistic regression -- Regression modeling of time-to-event data : survival analysis -- Nonlinear regression.
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Primer of applied regression and analysis of variance.
ISBN
9780071824118 hardcover ; alkaline paper
0071824111 hardcover ; alkaline paper
MARC
OCoLC
20170223021136.0
150831s2016 nyua b 001 0 eng cam i
101667155 DNLM
(OCoLC)919860754
DNLM/DLC rda eng DLC YDX NLM YDXCP CDX OCLCF VRC DUQ
pcc
DUQQ Backstage kem
C0 DUQ
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