A New Statistical Method for Mixed Variates Analysis in Epidemiological Research

✍ Scribed by Dr. H.-P. Wortha

• Publisher: John Wiley and Sons
• Year: 1989
• Tongue: English
• Weight: 666 KB
• Volume: 31
• Category: Article
• ISSN: 0323-3847
• DOI: 10.1002/bimj.4710310808

✦ Synopsis

Epidemiologically oriented research often may not do without observational or only partially controlled studies. In many such situations both qualitative characteristics and quantitative ones are observed. I n literature there are different methoda of handling such problems. The paper presents a method for analyzing dependencies reap. sseociationa between random variates of any kind. The model concerned fullfills the whole field between analysia of variance, analysis of covariance and contingency table analysis. The method is named MIVA or mixed variates analysis, bases on the class of Conditional Gauseian Distributions of the exponential family and reaulta in a unique system of mixed and unmixed measures of aeeociation-of pairwise, partial, multiple and global type. These measures are easy to be estimated and tested on significant deviation from zero. They may be used describing or analyzing dependence structures in many epidemiological studies but also in other fields.