Tobit, fixed effects, and cohort analyses of the relationship between severity and duration of rheumatoid arthritis.
Three methodological problems are commonly faced by researchers investigating relationships between severity and duration of illness among patients with rheumatoid arthritis (RA). (1) Linear regression techniques yield biased estimates when measures of severity are continuous but range between and include limiting values such as 0 and 3, (2) Data from the same patient over time are typically pooled together with data from different patients at the same time and over time.
Models are then used that do not account for the statistical problems that can result from pooling. (3) Persons with varying years of duration of disease are typically combined and analyzed without any special attention to cohort effects.
Mots-clés Pascal : Polyarthrite rhumatoïde, Méthodologie, Epidémiologie, Durée, Indice gravité, Système ostéoarticulaire pathologie, Rhumatisme inflammatoire, Immunopathologie, Maladie autoimmune, Chronique, Homme, Etude comparative, Modèle statistique, Econométrie, Californie, Etats Unis, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Rheumatoid arthritis, Methodology, Epidemiology, Duration, Severity score, Diseases of the osteoarticular system, Inflammatory joint disease, Immunopathology, Autoimmune disease, Chronic, Human, Comparative study, Statistical model, Econometrics, California, United States, North America, America
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0503312
Code Inist : 002B30A01A1. Création : 199406.