logit模型在损伤经验数据中的应用

J. Maiti, A. Bhattacherjee, U. C. Gupta, S. Ray
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引用次数: 5

摘要

利用某煤矿井下4年工伤数据,探讨了各种偶然因素对工伤严重程度的影响。虽然影响伤害严重程度的因素有很多,但我们选择了矿工的年龄、经验、职业、受伤地点、轮班时间和具体矿井作为影响变量。采用logit模型进行分析。进行双变量分析,分别研究各因素对损伤严重程度的影响,并估计严重损伤的几率。对于案例研究的矿井,得出的结论是,伤害严重程度因年龄、职业、伤害地点、轮班时间和具体矿井而异。然而,一般来说,经验对它没有任何显著的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN APPLICATION OF LOGIT MODEL TO INJURY EXPERIENCE DATA
The influence of various casual factors on the severity of injury was examined using the 4-year injury data from a group of underground coal mines. Although there are many factors that could affect the injury severity: miners' age, experience, occupation, injury-location, shift-time and specific-mine were chosen as the affecting variables. The logit model was applied for this analysis. The bivariate analysis was conducted to separately study the effect of each of the factors on the severity of injury and to estimate the odds of severe injuries. For the case study mines, it was concluded that the injury severity varies by age, occupation, injury-location, shift-time and specific-mine. However, experience in general does not have any significant effect on it.
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