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Multivariable analysis a practical guide for clinicians and public health researchers /

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"Now in its third edition, this highly successful 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...

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Kaituhi matua: Katz, Mitchell H.
Kaituhi rangatōpū: ebrary, Inc
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cambridge : Cambridge University Press, 2011.
Putanga:3rd ed.
Ngā marau:
Medicine > Research > Statistical methods.
Multivariate analysis.
Biometry.
Medical statistics.
Electronic books.
Urunga tuihono:An electronic book accessible through the World Wide Web; click to view
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Rārangi ihirangi:
  • 1. Introduction
  • 2. Common uses of multivariable
  • 3. Outcome variables in multivariable analysis
  • 4. Independent variables in multivariable analysis
  • 5. Relationship of independent variables to one another
  • 6. Setting up a multivariable analysis
  • 7. Performing the analysis
  • 8. Interpreting the result
  • 9. Delving deeper : checking the underlying assumptions of the analysis
  • 10. Propensity scores
  • 11. Correlated observations
  • 12. Validation of models
  • 13. Special topics
  • 14. Publishing your study
  • 15. Summary : steps for constructing a multivariable model.

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