不平衡单因素随机模型在职业接触评价中的应用(英文)

Assessing Occupational Exposure Via the Unbalanced One-Way Random Models

在职业接触评价中, 单因素随机模型可用于评价工人接触均值超过职业接触限值的概率. 当数据不平衡时, 本文利用广义推断研究了关于此概率的假设检验, 并对此方法与已有方法进行了模拟对比研究. 模拟结果表明, 本文所给方法优于已有方法, 特别是在数据极不平衡时效果更优.

A unbalanced one-way random model is considered for assessing the proportion of workers whose mean exposure exceed the occupational exposure limit （OEL） based on exposure measurements to the worker. Hypothesis testing for the relevant parameter of interest is proposed when the exposure data are unbalanced. The method is based on the generalize inference. A simulation study is conducted to compare it with that of Krishnamoorthy and Guo （2005）. Simulation results suggest that the proposed method appears to be better, especially in very unbalanced design.