Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Occup Environ Med. 2010 Jan;67(1):67-71. doi: 10.1136/oem.2008.044834.
To discuss the use of discrete time hazards models for the analysis of occupational and environmental cohort data.
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.
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).
讨论离散时间风险模型在职业和环境队列数据分析中的应用。
描述了离散时间风险模型的分析数据结构和回归方法。通过对一个接触二恶英的化学工人队列死亡率研究的数据进行分析来说明这种方法。
采用离散时间风险模型进行分析有助于检查观察到的和预期的计数、归因分数的计算以及估计风险率的经验描述。此外,这种方法可用于拟合非乘法模型,如线性风险比模型(已用于各种环境和职业暴露的流行病学分析)。