Discrete time hazards models for occupational and environmental cohort analyses.
OBJECTIVE
To discuss the use of discrete time hazards models for the analysis of occupational and environmental cohort data.


METHODS
Analytical data structures and regression methods for discrete time hazards models are described. This approach is illustrated via analyses of data from a study of mortality in a cohort of chemical workers exposed to dioxin.


CONCLUSIONS
Analyses employing a discrete time hazards model facilitate examination of observed and expected counts, the calculation of attributable fractions, and empirical description of the estimated hazard rates. In addition, this approach can be used to fit non-multiplicative models, such as the linear hazards ratio model (which has been employed in epidemiological analyses of a variety of environmental and occupational exposures).
Richardson
D B
DB
Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. david.richardson@unc.edu
D000465:Algorithms; D002617:Chemical Industry; D015331:Cohort Studies; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D004785:Environmental Pollutants / Q000009:adverse effects; D006801:Humans; D008297:Male; D009369:Neoplasms / Q000401:mortality; D016273:Occupational Exposure / Q000706:statistics & numerical data; D000072317:Polychlorinated Dibenzodioxins / Q000009:adverse effects; D016016:Proportional Hazards Models; D013223:Statistics as Topic / Q000379:methods*
D004785:Environmental Pollutants; D000072317:Polychlorinated Dibenzodioxins