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Workers' compensation costs among construction workers: a robust regression analysis.

机译:建筑工人之间的工人补偿成本:稳健的回归分析。

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BACKGROUND: Workers' compensation data are an important source for evaluating costs associated with construction injuries. METHODS: We describe the characteristics of injured construction workers filing claims in Illinois between 2000 and 2005 and the factors associated with compensation costs using a robust regression model. RESULTS: In the final multivariable model, the cumulative percent temporary and permanent disability-measures of severity of injury-explained 38.7% of the variance of cost. Attorney costs explained only 0.3% of the variance of the dependent variable. DISCUSSION: The model used in this study clearly indicated that percent disability was the most important determinant of cost, although the method and uniformity of percent impairment allocation could be better elucidated. There is a need to integrate analytical methods that are suitable for skewed data when analyzing claim costs.
机译:背景:工人的补偿数据是评估与工伤有关的成本的重要来源。方法:我们使用稳健的回归模型描述了2000年至2005年间在伊利诺伊州受伤的建筑工人提起索赔的特征以及与补偿费用相关的因素。结果:在最终的多变量模型中,临时性和永久性残疾的累积百分比衡量伤害的严重程度,解释了成本差异的38.7%。律师费用仅解释了因变量差异的0.3%。讨论:本研究中使用的模型清楚地表明,残疾百分比是决定成本的最重要因素,尽管可以更好地阐明损害分配百分比的方法和统一性。在分析索赔成本时,需要集成适用于偏斜数据的分析方法。

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