9781489998545 - regression methods in biostatistics: linear, logistic, survival, and repeated measures models di vittinghoff, eric; glidden, david v.; shiboski, stephen c.; mcculloch, charles e. (21 risultati)
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
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Lingua: Inglese
Editore: Springer, 2014
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Condizione: New. pp. 532 2nd Edition.
Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E.
Lingua: Inglese
Editore: Springer, 2014
- Brossura
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Altre immaginiLingua: Inglese
Editore: Springer, 2014
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer, Springer, 2014
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Taschenbuch. Condizione: 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-censo…red 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.
Lingua: Inglese
Editore: Springer, 2014
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Paperback. Condizione: Brand New. 2nd edition. 529 pages. 9.25x6.10x1.10 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2014
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Lingua: Inglese
Editore: Springer, 2014
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer New York Apr 2014, 2014
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, 2014
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Paperback. Condizione: new. Paperback. 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 fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, 2014
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Paperback. Condizione: new. Paperback. 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 fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2014
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Condizione: New. Print on Demand pp. 532 65 Illus. This item is printed on demand.
Regression Methods in Biostatistics
Eric Vittinghoff|David V. Glidden|Stephen C. Shiboski|Charles E. McCulloch
Lingua: Inglese
Editore: Springer New York, 2014
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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 .
Lingua: Inglese
Editore: Springer, 2014
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 532.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, 2014
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Paperback. Condizione: new. Paperback. 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 fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Springer, Springer Apr 2014, 2014
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch.
