[Epidemiological analysis of rank category exposure effects using cumulative logistic models].
Logistic regression is the fundamental procedure to analyze the dependence of the frequency of a binary disease indicator from exposure and other factors. Disease indicators with ranked levels contain a larger amount of information and permit a more precise prediction. For that, the cumulative logistic model was developed. Its application, demonstrated with an epidemiologic study for the dependence of arthritic changes in the knee-joint from intensity of kneeling stress and age, is very recommendable for the evaluation of well-designed epidemiologic studies concerning the prevalence of chronic diseases.
Enderlein
G
G
Zentralinstitut für Arbeitsmedizin, DDR.
D004781:Environmental Exposure; D006305:Health Status Indicators; D006801:Humans; D007592:Joint Diseases / Q000145:classification; D007719:Knee Joint; D016015:Logistic Models; D012044:Regression Analysis
Epidemiologische Analyse von rangabgestuften Expositionswirkungen mit kumulativen logistischen Modellen.