Title Statements
- Full title :Statistical models in epidemiology / David Clayton and Michael Hills.
Summary
This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics.
Read More ↓Edition Statements
- Publication Date:1993.
Publication Statements
- Publisher(s):Oxford University Press
- Place of Publication:Oxford
- Language:eng
- Publication Date:1993.
Notes
(Cont) Table of the chi-squared distribution.
The Physical Object
- Description:1 online resource (viii, 367 pages : : illustrations
Edition Identifiers
- ISBN:0191650919, 9780191650918, 0191650900, 9780191650901
- oclc:on1178535516
- LC Classification:RA652.2.M3
- Dewey Decimal:614.4/072
Table of Contents
Probability models -- Conditional probability models -- Likelihood -- Consecutive follow-up intervals -- Rates -- Time -- Competing risks and selection -- Gaussian probability model -- Approximate likelihoods -- Likelihood, probability, and confidence -- Null hypotheses and p-values -- Small studies -- Likelihoods for the rate ration -- Confounding and standardization -- Comparison of rates within strata -- Case-control studies -- Likelihoods for the odds ratio -- Comparison of odds within strata -- Individually matched case-control studies -- Tests for trend -- Size of investigations -- Introduction to regression models -- Poisson and logistic regression -- Testing hypotheses -- Models for dose-response -- More about interaction -- Choice and interpretation of models -- Additivity and synergism -- Conditional logistic regression -- Cox's regression analysis -- Time-varying explanatory variables -- Three examples -- Nested case-control studies -- Gaussian regression models -- Postscript -- Exponentials and logarithms -- Some basic calculus -- Approximate profile likelihoods.
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Statistical Models in Epidemiology -- (.pdf)
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