Modern EpidemiologyThe first half of the book deals with fundamental epidemiologic concepts and the principles of study design. The goals of epidemiologic research are presented in the contexts of scientific philosophy and a general model of causation, followed by an elaboration of the basic measures in epidemiology. Study designs along with the strategies to enhance validity and precision are discussed in the light of cost considerations and overall scientific objectives. The second half of the book, on data analysis, will be of immeasurable use as a teaching tool for students and as a teaching tool for students and as a reference work for researchers. The primary methods for crude, stratified and matched analysis are laid out in detail. The fresh approach to the advanced topics of multivariate analysis, the study of interactions, and the evaluation of dose-response trends uncovers many fallacies and misconceptions. |
Contents
THE EMERGENCE OF EPIDEMIOLOGY | 1 |
CAUSAL INFERENCE IN EPIDEMIOLOGY | 7 |
MEASURES OF DISEASE FREQUENCY | 25 |
Copyright | |
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Common terms and phrases
90 percent confidence approach association bias binomial calculated case-control data case-control studies causal cohort comparison component causes concept confidence interval confidence limits confounding factor corresponding cumulative incidence data in Example distribution effect estimates effect modification efficiency endometrial cancer Epidemiol epidemiologic equation error estimate of effect evaluation follow-up studies formula incidence rate difference incidence rate ratio induction inference interaction interval estimation large number logarithm logistic regression lung cancer matching factors maximum likelihood estimate method mid-P Miettinen misclassification mortality multivariate analysis multivariate model null hypothesis null value number of exposed observed obtained occur odds ratio outcome P-value percent confidence interval point estimate pooled estimate prevalence probability proportion R(AB random ratio estimate relation relative risk risk factor risk ratio Rothman smoking source population statistical hypothesis testing strata stratified analysis stratum stratum-specific estimates subjects sufficient causes Table test-based tion total number variable variance weights zero