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9781489998545 - Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models Statistics for Biology and Health by Vittinghoff, Eric; Glidden, David... (17 results)
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Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
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Condition: New. pp. 532 2nd Edition.
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Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Book 46 of 69: Statistics for Biology and HealthSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 127.27
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Add to basketCondition: New.
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Book 46 of 69: Statistics for Biology and HealthSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Regression Methods in Biostatistics | Linear, Logistic, Survival, and Repeated Measures Models | Eric Vittinghoff (u. a.) | Taschenbuch | Statistics for Biology and Health | xx | Englisch | 2014 | Springer | EAN 9781489998545 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Book 46 of 69: Statistics for Biology and HealthUS$ 181.22
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Add to basketPaperback. Condition: Brand New. 2nd edition. 529 pages. 9.25x6.10x1.10 inches. In Stock.
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Regression Methods in Biostatistics
Book 46 of 69: Statistics for Biology and HealthLanguage: English
Published by Springer New York, Springer US Apr 2014, 2014
ISBN 10: 1489998543 ISBN 13: 9781489998545
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch.
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Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Book 46 of 69: Statistics for Biology and HealthSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Book 46 of 69: Statistics for Biology and HealthUS$ 197.12
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Add to basketPaperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Regression Methods in Biostatistics
Book 46 of 69: Statistics for Biology and HealthLanguage: English
Published by Springer New York Apr 2014, 2014
ISBN 10: 1489998543 ISBN 13: 9781489998545
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 532 pp. Englisch.
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US$ 139.47
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Add to basketCondition: New. Print on Demand pp. 532 65 Illus. This item is printed on demand.
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Condition: New. PRINT ON DEMAND pp. 532.
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US$ 106.39
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Short and to the point so that the important issues and similarities between the methods, rather than the differences, shine throughProvides a unified introduction to the regression methods listed in the titleUnified approach should appeal .
