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LEADER 02583cam 2200529 i 4500

001 ocn919860754;

003 OCoLC;

005 20160802101914.0;

008 150831s2016 nyua b 001 0 eng ;

010 a| 2015033598;

016 7 a| 1016671552| DNLM;

020 a| 9780071824118q| hardcover ;q| alkaline paper;

020 a| 0071824111q| hardcover ;q| alkaline paper;

035 a| (Sirsi) o919860754;

035 a| (OCoLC)919860754;

042 a| pcc;

049 a| NEHH;

050 04 a| QH323.5b| .G56 2016;

060 10 a| WA 950;

082 00 a| 570.1/51952| 23;

100 1 a| Glantz, Stanton A.e| author.=| ^A119209;

245 10 a| Primer of applied regression & analysis of variance /c| Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.;

246 3 a| Primer of applied regression and analysis of variance;

250 a| Third edition.;

264 1 a| New York :b| McGraw-Hill Education,c| [2016];

300 a| xxvii, 1,183 pages :b| illustrations ;c| 25 cm;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

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 a| Biometry.=| ^A1379;

650 0 a| Regression analysis.=| ^A1986;

650 0 a| Analysis of variance.=| ^A5486;

650 12 a| Biometryx| methods.=| ^A920932;

650 22 a| Regression Analysis.=| ^A918327;

650 22 a| Analysis of Variance.=| ^A919366;

650 22 a| Data Interpretation, Statistical.=| ^A925316;

700 1 a| Slinker, Bryan K.e| author.=| ^A977306;

700 1 a| Neilands, Torsten B.,e| author.=| ^A1293026;

949 a| WA 950 G5451p 2016h| HSL70i| 31740082772777p| $145.00o| hjph;

994 a| C0b| NEH;

096 a| WA 950b| G5451p 2016;

596 a| 4;

998 a| 4442007;

999 a| WA 950 G5451P 2016w| NLMc| 1i| 31740082772777d| 4/26/2021e| 4/23/2021l| HSLBKm| HSLn| 1p| $145.00q| 2r| Ys| Yt| HBKu| 7/5/2016x| BOOKz| HSTACKSo| .STAFF. hjph;

Primer of applied regression & analysis of variance / Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.

Author/creator	Glantz, Stanton A. author.
Other author	Slinker, Bryan K. author.
Other author	Neilands, Torsten B., author.
Format	Book
Edition	Third edition.
Publication	New York : McGraw-Hill Education, [2016]
Description	xxvii, 1,183 pages : illustrations ; 25 cm
Subjects	Biometry. Regression analysis. Analysis of variance. Biometry--methods. Regression Analysis. Analysis of Variance. Data Interpretation, Statistical.

Variant title	Primer of applied regression and analysis of variance
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.
Bibliography note	Includes bibliographical references and index.
LCCN	2015033598
ISBN	9780071824118 hardcover ; alkaline paper
ISBN	0071824111 hardcover ; alkaline paper

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Laupus	Books - Stacks	WA 950 G5451P 2016	✔ Available	Place Hold

Primer of applied regression & analysis of variance / Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.

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