Titlebook: Handbook of Epidemiology; Wolfgang Ahrens,Iris Pigeot Book 20051st edition Springer-Verlag Berlin Heidelberg 2005 Assessment.Measure.SAS.S

Congestion

MOTIF

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Antecedent

Sample Size Determination in Epidemiologic Studies present constraints on the maximum-number of subjects that might actually be included in a study, statistical considerations are extremely important. To address the statistical questions about appropriate sample size, the researcher must first specify the study design, the nature of the outcome var

extrovert

General Principles of Data Analysis: Continuous Covariables in Epidemiological Studiesin Chaps. I.3, I.5 to I.7 and II.4. Other features are generally relevant, see Chaps. I.2 and I.9. This chapter deals with one of these, namely the analysis of continuous covariables. After a short introduction in which relevant measures used for continuous covariables are listed, we present classic

Paradox

Regression Methods for Epidemiologic Analysisnly a few variables at a time. They are, however, limited in the number of variables that they can examine simultaneously. Even sparse-strata methods (such as Mantel-Haenszel) require that some strata have two or more subjects; yet, as more and more variables or categories are added to a stratificat

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https://doi.org/10.1007/978-3-642-51568-2ion of illness. These contributing disciplines stem from three major scientific areas, first from basic biomedical sciences such as biology, physiology, biochemistry, molecular genetics, and pathology, second from clinical sciences such as oncology, gynecology, orthopedics, obstetrics, cardiology, i

Analogy

https://doi.org/10.1007/978-3-663-07517-2 causes. This chapter deals with the conceptual building blocks of epidemiology. First we offer a model for causation, from which a variety of insights relevant to epidemiologic understanding emerge. We then discuss the basis by which we attempt to infer that an identified factor is indeed a cause o