A model for interval-censored tuberculosis outbreak data.
As the incidence of tuberculosis (TB) has increased in the United States, occupationally acquired TB has increased among the health care workers (HCWs).
This paper describes a model developed in response to the needs of an outbreak of multidrug-resistant TB.
One of the goals of the outbreak investigation was to estimate the risk of tuberculin skin test (TST) conversion as a function of HCW job type and the period during which persons were employed over the study period.
TST conversions were evaluated at periodic examinations and data are interval-censored.
We present a generalized linear model that extends Efron's survival model for censored survival data to the case of interval-censored data.
Mots-clés Pascal : Tuberculose, Mycobactériose, Bactériose, Infection, Etats Unis, Amérique du Nord, Amérique, Développement maladie, Modèle statistique, Résistance traitement, Médicament, Analyse risque, Tuberculine, Test cutané, Diagnostic, Exposition professionnelle, Simulation, Analyse donnée, Courbe survie
Mots-clés Pascal anglais : Tuberculosis, Mycobacterial infection, Bacteriosis, Infection, United States, North America, America, Disease development, Statistical model, Negative therapeutic reaction, Drug, Risk analysis, Tuberculin, Skin test, Diagnosis, Occupational exposure, Simulation, Data analysis, Survival curve
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0230248
Code Inist : 002B28B. Création : 11/06/1997.