Multivariable analysis : a practical guide for clinicians and public health researchers / Mitchell H. Katz
Main Author Hatz, Mitchell H. Language Inglês. Country Reino Unido. Edition 3rd ed. Publication Cambridge : Cabridge University Press, 2011 Description xiv, 233 p. : fig. ; 25 cm ISBN 9780521141079 Abstract This text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research List(s) this item appears in: Bioestatística II| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Monografia | Biblioteca NMS|FCM | WA 950 KAT Mul-3 ed,2011 | Presencial/Restrito | 20230145 |
This text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research
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