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首页> 外文期刊>Statistics in medicine >Assignment of grouped exposure levels for trend estimation in a regression analysis of summarized data.
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Assignment of grouped exposure levels for trend estimation in a regression analysis of summarized data.

机译:在汇总数据的回归分析中分配分组的暴露水平以进行趋势估计。

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摘要

For performing regression analysis of summarized response data containing grouped intervals of exposure, many researchers use pre-assigned doses such as the median values of each interval. However, the trend estimate is considerably sensitive to the choice of the assigned values. In this paper, we propose a method to assign the values to obtain a more accurate regression coefficient applying the likelihood approach. Numerical illustrations and comparisons through simulations showed that the proposed dose assignment can yield better estimates of trend in the regression analysis of two variants than that obtained by the conventional assignment methods such as those that use median values. In particular, for the data of a case-control study, the proposed dose improved the accuracy of the procedures such as that developed by Greenland and Longnecker (1992) compared with the conventional pre-assigned dose.
机译:为了对包含分组暴露间隔的汇总响应数据进行回归分析,许多研究人员使用预先指定的剂量,例如每个间隔的中值。但是,趋势估计对分配值的选择非常敏感。在本文中,我们提出一种使用似然方法分配值以获得更准确的回归系数的方法。通过仿真进行的数值说明和比较显示,与通过常规分配方法(例如使用中值)获得的剂量分配相比,在两个变量的回归分析中,建议的剂量分配可以更好地估算趋势。特别是,对于病例对照研究的数据,与常规的预定剂量相比,拟议的剂量提高了诸如Greenland和Longnecker(1992)开发的方法的准确性。

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