{"title":"A program to compute the generalized Mantel-Haenszel chi-square for multiple 2 × J tables","authors":"Vincent C Arena","doi":"10.1016/0010-468X(83)90026-0","DOIUrl":null,"url":null,"abstract":"<div><p>A FORTRAN program for computing the generalized Mantel-Haenszel <em>χ</em><sup>2</sup>-test statistic for multiple 2 × <em>J</em> tables is presented. The output contains the additional information of expected cell values and the individual odds ratios for each stratum. For the case of 2 × 2 tables, an internal check of the expectation is made to assure that the asymptotic assumptions are met. Optionally, the Yate's correction for continuity can be employed for 2 × 2 tables. The program can handle frequency count data as found in contingency tables or fractional values as in life table procedures.</p></div>","PeriodicalId":75731,"journal":{"name":"Computer programs in biomedicine","volume":"17 1","pages":"Pages 65-72"},"PeriodicalIF":0.0000,"publicationDate":"1983-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0010-468X(83)90026-0","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer programs in biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0010468X83900260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A FORTRAN program for computing the generalized Mantel-Haenszel χ2-test statistic for multiple 2 × J tables is presented. The output contains the additional information of expected cell values and the individual odds ratios for each stratum. For the case of 2 × 2 tables, an internal check of the expectation is made to assure that the asymptotic assumptions are met. Optionally, the Yate's correction for continuity can be employed for 2 × 2 tables. The program can handle frequency count data as found in contingency tables or fractional values as in life table procedures.
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