- 5 resultados
menor preço: € 85.65, preço mais alto: € 96.49, preço médio: € 94.24
1
Regression Methods in Biostatistics - David V. Glidden; Charles E. McCulloch; Stephen C. Shiboski; Eric Vittinghoff
Encomendar
no/na lehmanns.de
€ 96.29
Envio: € 0.001
EncomendarLink patrocinado
David V. Glidden; Charles E. McCulloch; Stephen C. Shiboski; Eric Vittinghoff:

Regression Methods in Biostatistics - nuovo livro

2012, ISBN: 9781461413530

Linear, Logistic, Survival, and Repeated Measures Models, eBooks, eBook Download (PDF), 2nd ed. 2012, This new book provides a unified, in-depth, readable introduction to the multipredict… mais…

Custos de envio:Download sofort lieferbar. (EUR 0.00)
2
Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models - David A. Papa
Encomendar
no/na hive.co.uk
£ 76.08
(aproximadamente € 85.65)
EncomendarLink patrocinado

David A. Papa:

Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models - nuovo livro

2006, ISBN: 9781461413530

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, logist… mais…

No. 9781461413530. Custos de envio:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., mais custos de envio
3
Regression Methods in Biostatistics - Eric Vittinghoff/ David V. Glidden/ Stephen C. Shiboski/ Charles E. McCulloch
Encomendar
no/na Hugendubel.de
€ 96.49
Envio: € 0.001
EncomendarLink patrocinado
Eric Vittinghoff/ David V. Glidden/ Stephen C. Shiboski/ Charles E. McCulloch:
Regression Methods in Biostatistics - nuovo livro

ISBN: 9781461413530

*Regression Methods in Biostatistics* - Linear Logistic Survival and Repeated Measures Models / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Medizin Medien … mais…

1461413532. Custos de envio:In stock (Download), , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
4
Regression Methods in Biostatistics - Eric Vittinghoff/ David V. Glidden/ Stephen C. Shiboski/ Charles E. McCulloch
Encomendar
no/na eBook.de
€ 96.49
Envio: € 0.001
EncomendarLink patrocinado
Eric Vittinghoff/ David V. Glidden/ Stephen C. Shiboski/ Charles E. McCulloch:
Regression Methods in Biostatistics - nuovo livro

ISBN: 9781461413530

Regression Methods in Biostatistics - Linear Logistic Survival and Repeated Measures Models: ab 96.49 € eBooks > Fachthemen & Wissenschaft > Medizin Springer-Verlag GmbH eBook als pdf, Sp… mais…

Custos de envio:in stock, , , DE. (EUR 0.00)
5
Regression Methods in Biostatistics - Eric Vittinghoff; David V. Glidden; Stephen C. Shiboski; Charles E. McCulloch
Encomendar
no/na lehmanns.de
€ 96.29
Envio: € 0.001
EncomendarLink patrocinado
Eric Vittinghoff; David V. Glidden; Stephen C. Shiboski; Charles E. McCulloch:
Regression Methods in Biostatistics - nuovo livro

2012, ISBN: 9781461413530

Linear, Logistic, Survival, and Repeated Measures Models, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 2], Springer-Verlag, 2012

Custos de envio:Download sofort lieferbar. (EUR 0.00)

1Como algumas plataformas não transmitem condições de envio e estas podem depender do país de entrega, do preço de compra, do peso e tamanho do item, de uma possível adesão à plataforma, de uma entrega direta pela plataforma ou através de um fornecedor terceirizado (Marketplace), etc., é possível que os custos de envio indicados pela terralivro não correspondam aos da plataforma ofertante.

Dados bibliográficos do melhor livro correspondente

Pormenores referentes ao livro

Dados detalhados do livro - Regression Methods in Biostatistics


EAN (ISBN-13): 9781461413530
ISBN (ISBN-10): 1461413532
Ano de publicação: 2012
Editor/Editora: Springer-Verlag GmbH
509 Páginas
Língua: eng/Englisch

Livro na base de dados desde 2012-09-19T14:52:26-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-10-22T15:17:21-03:00 (Sao Paulo)
Número ISBN/EAN: 1461413532

Número ISBN - Ortografia alternativa:
1-4614-1353-2, 978-1-4614-1353-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: vittinghoff, mcculloch, char, charles glidden


Dados da editora

Autor: Eric Vittinghoff; David V. Glidden; Stephen C. Shiboski; Charles E. McCulloch
Título: Statistics for Biology and Health; Regression Methods in Biostatistics - Linear, Logistic, Survival, and Repeated Measures Models
Editora: Springer; Springer US
509 Páginas
Ano de publicação: 2012-03-06
New York; NY; US
Impresso / Feito em
Língua: Inglês
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XX, 512 p.

EA; E107; eBook; Nonbooks, PBS / Medizin/Allgemeines; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; adopted-textbook; applied regression methods for biomedical research; confounding, mediation, and interaction; linear, logistic, generalized linear, survival (Cox), GEE, a; model selection and checking; statistical computing with STATA; B; Statistics for Life Sciences, Medicine, Health Sciences; Epidemiology; Public Health; Biostatistics; Epidemiology; Public Health; Mathematics and Statistics; Epidemiologie und medizinische Statistik; Public Health und Präventivmedizin; BB

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. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses.

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).

From the reviews:

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.

Short and to the point so that the important issues and similarities between the methods, rather than the differences, shine through

Provides a unified introduction to the regression methods listed in the title

Unified approach should appeal to students who learn conceptually and verbally

Includes supplementary material: sn.pub/extras


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.

< Para arquivar...