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Cover: 9781489998545 | Regression Methods in Biostatistics | Eric Vittinghoff (u. a.) | Buch
Bild: 9781489998545 | Regression Methods in Biostatistics | Eric Vittinghoff (u. a.) | Buch
Cover: 9781489998545 | Regression Methods in Biostatistics | Eric Vittinghoff (u. a.) | Buch
Bild: 9781489998545 | Regression Methods in Biostatistics | Eric Vittinghoff (u. a.) | Buch
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Regression Methods in Biostatistics
Linear, Logistic, Survival, and Repeated Measures Models
Taschenbuch von Eric Vittinghoff (u. a.)
Sprache: Englisch

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Beschreibung
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.
Über den Autor
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).
Zusammenfassung
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.
Inhaltsverzeichnis

Introduction.- Exploratory and Descriptive Methods.- Basic Statistical Methods.- Linear Regression.- Logistic Regression.- Survival Analysis.- Repeated Measures Analysis.- Generalized Linear Models.- Strengthening Casual Inference.- Predictor Selection.- Complex Surveys.- Summary.

Details
Erscheinungsjahr: 2014
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Statistics for Biology and Health
Inhalt: xx
509 S.
ISBN-13: 9781489998545
ISBN-10: 1489998543
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Vittinghoff, Eric
Mcculloch, Charles E.
Shiboski, Stephen C.
Glidden, David V.
Auflage: 2nd ed. 2012
Hersteller: Springer New York
Springer US, New York, N.Y.
Statistics for Biology and Health
Maße: 235 x 155 x 29 mm
Von/Mit: Eric Vittinghoff (u. a.)
Erscheinungsdatum: 13.04.2014
Gewicht: 0,797 kg
Artikel-ID: 105337696
Über den Autor
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).
Zusammenfassung
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.
Inhaltsverzeichnis

Introduction.- Exploratory and Descriptive Methods.- Basic Statistical Methods.- Linear Regression.- Logistic Regression.- Survival Analysis.- Repeated Measures Analysis.- Generalized Linear Models.- Strengthening Casual Inference.- Predictor Selection.- Complex Surveys.- Summary.

Details
Erscheinungsjahr: 2014
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Statistics for Biology and Health
Inhalt: xx
509 S.
ISBN-13: 9781489998545
ISBN-10: 1489998543
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Vittinghoff, Eric
Mcculloch, Charles E.
Shiboski, Stephen C.
Glidden, David V.
Auflage: 2nd ed. 2012
Hersteller: Springer New York
Springer US, New York, N.Y.
Statistics for Biology and Health
Maße: 235 x 155 x 29 mm
Von/Mit: Eric Vittinghoff (u. a.)
Erscheinungsdatum: 13.04.2014
Gewicht: 0,797 kg
Artikel-ID: 105337696
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