Multivariable analysis a practical guide for clinicians and public health researchers /
"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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| 第一著者: | |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cambridge :
Cambridge University Press,
2011.
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| 版: | 3rd ed. |
| 主題: | |
| オンライン･アクセス: | An electronic book accessible through the World Wide Web; click to view |
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目次:
- 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.