Primer of applied regression & analysis of variance / Stanton A. Glantz, Bryan K. Slinker, Torsten B. Neilands.
Publication details: New York, New York : McGraw-Hill Education, 2016.Edition: Third editionDescription: xxvii, 1,183 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9780071824118
- 0071824111
- Primer of applied regression and analysis of variance
- QH 323.5 .G458 2016
- QH323.5 .G56 2016
- WA 950
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Books Overnight | Far Eastern University - Nicanor Reyes Medical Foundation Circulation Section | QH 323.5 .G458 2016 (Browse shelf(Opens below)) | Available | 0009246 |
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
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