- 352 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Statistics for Epidemiology
About this book
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes."Statistics for E
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Yes, you can access Statistics for Epidemiology by Nicholas P. Jewell in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
18
MEASURES
OF
DISEASE
OCCURRENCE
4.
The
number
of
60
to
64-year-old
California
residents
who
had
a
stroke
in
2002,
divided
by
the
total
number
of
60
to
64-year-old
residents
on
July
1,
2002.
Question
2.3
Describe
plausible
disease
scenarios,
with
the
relevant
risk
intervals,
that
suggest
(1)
an
increasing
hazard
function;
(2)
a
decreasing
hazard
function;
(3)
initially
increasing
hazard,
followed
by
decreasing
hazards;
and
(4)
initially
decreasing
hazard,
followed
by
increasing
hazards.
Table of contents
- Front Cover
- Contents
- Acknowledgments
- CHAPTER 1. Introduction
- CHAPTER 2. Measures of Disease Occurrence
- CHAPTER 3. The Role of Probability in Observational Studies
- CHAPTER 4. Measures of Disease–Exposure Association
- CHAPTER 5. Study Designs
- CHAPTER 6. Assessing Significance in a 2×2 Table
- CHAPTER 7. Estimation and Inference for Measures of Association
- CHAPTER 8. Causal Inference and Extraneous Factors: Confounding and Interaction
- CHAPTER 9. Control of Extraneous Factors
- CHAPTER 10. Interaction
- CHAPTER 11. Exposures at Several Discrete Levels
- CHAPTER 12. Regression Models Relating Exposure to Disease
- CHAPTER 13. Estimation of Logistic Regression Model Parameters
- CHAPTER 14. Confounding and Interaction within Logistic Regression Models
- CHAPTER 15. Goodness of Fit Tests for Logistic Regression Models and Model Building
- CHAPTER 16. Matched Studies
- CHAPTER 17. Alternatives and Extensions to the Logistic Regression Model
- CHAPTER 18. Epilogue: The Examples
- References
- Glossary of Common Termsand Abbreviations
- Index
- Back Cover