Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data /
This text will enable biomedical researchers to use several advanced statistical methods that have proven valuable in medical research. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting resul...
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Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge :
Cambridge University Press,
2002
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Ch. 1. Introduction
- Ch. 2. Simple linear regression
- Ch. 3. Multiple linear regression
- Ch. 4. Simple logistic regression
- Ch. 5. Multiple logistic regression
- Ch. 6. Introduction to survival analysis
- Ch. 7. Hazard regression analysis
- Ch. 8. Introduction to poisson regression: inferences on morbidity and mortality rates
- Ch. 9. Multiple poisson regression
- Ch. 10. Fixed effects analysis of variance
- Ch. 11. Repeated-measures analysis of variance.
