Using binary logistic regression models for ordinal data with non-proportional odds

Journal of Clinical Epidemiology

Volumn 51, Issue 10, 1998, Pages 809-816

  Bender, Ralf ^a   Grouven, Ulrich ^b  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b Oststadt Krankenhaus   (Germany)

Author keywords

Diabetic retinopathy; Logistic regression; Non proportional odds; Ordinal data; Proportional odds model

Indexed keywords

ARTICLE; DIABETIC RETINOPATHY; HUMAN; PRIORITY JOURNAL; REGRESSION ANALYSIS; RETINOPATHY; RISK; SMOKING; STATISTICAL MODEL;

BIAS (EPIDEMIOLOGY); BLOOD PRESSURE; DIABETES MELLITUS, TYPE 1; DIABETIC RETINOPATHY; FOLLOW-UP STUDIES; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; LOGISTIC MODELS; ODDS RATIO; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SMOKING;

EID: 0032188751     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-4356(98)00066-3     Document Type: Article

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