Interpretation of Epidemiological Data Using Multiple Correspondence Analysis and Log-linear Models
نویسندگان
چکیده
In this work we present a combined approach to contingency tables analysis using correspondence analysis and log-linear models. Several investigators have recognized relations between the aforementioned methodologies, in the past. By their combination we may obtain a better understanding of the structure of the data and a more favorable interpretation of the results. As an application we applied both methodologies to an epidemiological database (CARDIO2000) regarding coronary heart disease risk factors.
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