David Clayton (Diabetes and Cambridge Inst Inflammation Laboratory, Michael Hills (London School of Hygiene and Tropical Medicine)

STAT MODELS EPIDEMIOLOGY P

• Broschiertes Buch

Produktbeschreibung

This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.

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Produktdetails

• Verlag: Oxford University Press
• Seitenzahl: 376
• Erscheinungstermin: 17. Januar 2013
• Englisch
• Abmessung: 234mm x 156mm x 21mm
• Gewicht: 576g
• ISBN-13: 9780199671182
• ISBN-10: 0199671184
• Artikelnr.: 36596626

Autorenporträt

David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research Michael Hills, London School of Hygiene and Tropical Medicine

Inhaltsangabe

I. Probability Models and Likelihood
1: Probability models
2: Conditional probability models
3: Likelihood
4: Consecutive follow-up intervals
5: Rates
6: Time
7: Competing risks and selection
8: The Gaussian probability model
9: Approximate likelihoods
10: Likelihood, probability, and confidence
11: Null hypotheses and p-values
12: Small studies
13: Likelihoods for the rate ratio
14: Confounding and standardization
15: Comparison of rates within strata
16: Case-control studies
17: Likelihoods for the odds ratio
18: Comparison of odds within strata
19: Individually matched case-control studies
20: Tests for trend
21: The size of investigations
II. Regression Models
22: Introduction to regression models
23: Poission and logistic regression
24: Testing hypotheses
25: Models for dose-response
26: More about interaction
27: Choice and interpretation of models
28: Additivity and synergism
29: Conditional logistic regression
30: Cox's regression analysis
31: Time-varying explanatory variables
32: Three examples
33: Nested case-control studies
34: Gaussian regression models
35: Postscript
III. Appendices
A. Exponentials
B. Some basic calculus
C. Approximate profile likelihoods
D. Table of the Chi-squared distribution
Index