Stata 15 help for epitab

[R] epitab -- Tables for epidemiologists


To calculate appropriate statistics and suppress inappropriate statistics, the ir, cs, cc, tabodds, mhodds, and mcc commands, along with their immediate counterparts, are organized in the way epidemiologists conceptualize data. ir processes incidence-rate data from prospective studies; cs, cohort study data with equal follow-up time (cumulative incidence); cc, tabodds, and mhodds, case-control or cross-sectional (prevalence) data; and mcc, matched case-control data. With the exception of mcc, these commands work with both simple and stratified tables.

Epidemiological data are often summarized in a contingency table from which various statistics are calculated. The rows of the table reflect cases and noncases or cases and person-time, and the columns reflect exposure to a risk factor. To an epidemiologist, cases and noncases refer to the outcomes of the process being studied. For instance, a case might be a person with cancer and a noncase a person without cancer.

A factor is something that might affect the chances of being ultimately designated a case or a noncase. Thus, a case might be a cancer patient and the factor, smoking behavior. A person is said to be exposed or unexposed to the factor. Exposure can be classified as a dichotomy, smokes or does not smoke, or as multiple levels, such as number of cigarettes smoked per week.

Cohort studies ir and iri cs and csi

Case-control studies cc and cci tabodds mhodds

Matched case-control studies mcc and mcci

Also see Glossary under Remarks and examples in [R] epitab.

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index