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Regression with linear predictors / Per Kragh Andersen, Lene Theil Skovgaard ; with 171 illustrations by Therese Graversen.

By: Andersen, Per Kragh.
Contributor(s): Skovgaard, Lene Theil | Graversen, Therese.
Material type: TextTextSeries: Statistics for biology and health: Publisher: New York : Springer, c2010Description: xi, 494 p. : ill. ; 24 cm.ISBN: 9781441971692 (alk. paper); 1441971696 (alk. paper); 9781441971708 (eISBN); 144197170X (eISBN).Subject(s): Regression analysis | Regression AnalysisDDC classification: 519.536 Online resources: WorldCat details | Ebook Fulltext
Contents:
Table of contents 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.
Summary: 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.
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Includes bibliographical references (p. [483]-486) and index.

Table of contents 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.

Applied Statistics

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