Some applications of categorical data analysis to epidemiological studies.
Several examples of categorized data from epidemiological studies are analyzed to illustrate that more informative analysis than tests of independence can be performed by fitting models. All of the analyses fit into a unified conceptual framework that can be performed by weighted least squares. The methods presented show how to calculate point estimate of parameters, asymptotic variances, and asymptotically valid chi 2 tests. The examples presented are analysis of relative risks estimated from several 2 x 2 tables, analysis of selected features of life tables, construction of synthetic life tables from cross-sectional studies, and analysis of dose-response curves.
D000206:Actuarial Analysis; D000293:Adolescent; D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D002648:Child; D002675:Child, Preschool; D004813:Epidemiology; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D009203:Myocardial Infarction / Q000453:epidemiology; D009381:Neoplasms, Radiation-Induced / Q000401:mortality; D009689:Nuclear Warfare; D044469:Racial Groups; D012119:Respiration; D012135:Respiratory Sounds; D013223:Statistics as Topic