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Primer of applied regression & analysis of variance /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Primer of applied regression & analysis of variance // Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.
其他題名:	Primer of applied regression and analysis of variance
作者:	Glantz, Stanton A.
其他作者:	Slinker, Bryan K.
出版者:	New York :McGraw-Hill Education, : c2016.,
版本:	3rd ed.
面頁冊數:	xxvii, 1183 p. :ill. (chiefly col.) ; : 24 cm.;
標題:	Biometry. -
ISBN:	9780071824118 (hard) :

Primer of applied regression & analysis of variance /
Glantz, Stanton A.

Primer of applied regression & analysis of variance /Primer of applied regression and analysis of varianceStanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands. - 3rd ed. - New York :McGraw-Hill Education,c2016. - xxvii, 1183 p. :ill. (chiefly col.) ;24 cm.

Includes bibliographical references and index.

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.

ISBN: 9780071824118 (hard) :NT4380

LCCN: 2015033598Subjects--Topical Terms:

243084
Biometry.

LC Class. No.: QH323.5 / .G56 2016

Dewey Class. No.: 570.1/5195

National Library of Medicine Call No.: WA 950

Primer of applied regression & analysis of variance /
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246 1 $a Primer of applied regression and analysis of variance
250 $a 3rd ed.
260 $a New York : $b McGraw-Hill Education, $c c2016.
300 $a xxvii, 1183 p. : $b ill. (chiefly col.) ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a 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.
650 0 $2 96060 $a Biometry. $3 243084
650 0 $2 96060 $a Regression analysis. $3 214066
650 0 $2 96060 $a Analysis of variance. $3 214067
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650 2 2 $a Analysis of Variance. $3 447712
650 2 2 $2 96060 $a Data Interpretation, Statistical. $3 219529
650 2 2 $2 96060 $a Regression Analysis. $3 254186
700 1 $a Slinker, Bryan K. $3 447710
700 1 $a Neilands, Torsten B. $3 447711