Regression with linear predictors / Per Kragh Andersen, Lene Theil Skovgaard ; with 171 illustrations by Therese Graversen.
Material type:
TextLanguage: English Series: Statistics for biology and healthPublication details: New York : Springer, c2010. Description: xi, 494 p. : ill. ; 24 cmISBN: 9781441971692 (alk. paper); 1441971696 (alk. paper); 9781441971708 (eISBN); 144197170X (eISBN)Subject(s): Regression analysis | Regression AnalysisDDC classification: 519.536 LOC classification: QA278.2 | .A53 2010NLM classification: 2011 J-481 | QA 278.2Online resources: WorldCat details | Ebook Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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E-Book
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.536 ANR 2010 (Browse shelf(Opens below)) | Not for loan | ||||
Text
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.536 ANR 2010 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26675 |
Includes bibliographical references (p. [483]-486) and index.
TOC Statistical models.- One categorical covariate.- One quantitative covariate.- Multiple regression, the linear predictor.- Model building: From purpose to conclusion.- Alternative outcome types and link functions.- Further topics.
This text provides a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. It includes many worked examples.
AS
Tahur Ahmed
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