A model for interval-censored tuberculosis outbreak data

Stat Med. 1997 Mar 15;16(5):485-96. doi: 10.1002/(sici)1097-0258(19970315)16:5<485::aid-sim422>3.0.co;2-#.

Abstract

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.

MeSH terms

  • Bias
  • Disease Outbreaks*
  • Health Personnel*
  • Humans
  • Incidence
  • Linear Models
  • Models, Statistical*
  • Occupational Diseases / epidemiology*
  • Reproducibility of Results
  • Risk Factors
  • Survival Analysis
  • Time Factors
  • Tuberculosis, Multidrug-Resistant / epidemiology*
  • United States / epidemiology