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Multivariable Analysis: A Practical Guide for Clinicians
Abstract
This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It is the perfect introduction for all clinical researchers. It focuses on the nuts and bolts of performing research and prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain 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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Cited by
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Zlobec, I., Baker, K., Terracciano, L. M., & Lugli, A. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-5103 · Cited by 43
Tabuchi, T., Takatorige, T., Hirayama, Y., Nakata, N., Harihara, S., Shimouchi, A., Fujita, K., Yoshida, H., Tamura, Y., Nagai, T., et al. (2011) · BMC Infectious Diseases · doi:10.1186/1471-2334-11-22 · Cited by 38
Positive psychological determinants of treatment adherence among primary care patients
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Rodríguez-Sabiote, C., Ibáñez-Cubillas, P., López-Rodríguez, S., & Álvarez-Rodríguez, J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.695147 · Cited by 11
Metadata
- Authors
- Katz, M. H.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2006-02-06
- OpenAlex
- W4248976333
- Cited by
- 300
- References
- 0
- FWCI
- 2.60
- Type
- book
- Language
- en
- Open access
- closed
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