Fuzzy indices of risk for a deeper evaluation of exposure-affection studies

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-12-27 DOI:10.6092/ISSN.1973-2201/6682
M. Brizzi
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Abstract

In this paper a fuzzy version of three indices of risk (Diagonal Ratio, Rate ratio and Odds ratio), usually applied to exposure-affection studies, has been proposed and developed, considering the presence of a partial level of exposure and/or affection. These fuzzy indices are calculated after rescaling the cell frequencies according to fuzzy degrees of pertinence of partial modalities. A simulation study has then been performed, under the hypothesis of absence of effect of the risk factor, and some exploratory statistics have been reported, corresponding to different sample sizes; a transformed linear interpolation method has been described for extending simulation results. The rescaling method has been generalized, supposing that every observation has its proper level of exposure and affection. Finally, the fuzzy indices have been applied to an Italian survey, dealing with the relationship between physical activity and self-perceived health status of more than 4,500 people over 65, living in the province of Bologna.
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模糊风险指数对暴露-影响研究的更深层次评价
在本文中,考虑到部分暴露和/或影响水平的存在,提出并发展了通常用于暴露-影响研究的三个风险指数(对角线比、比率比和优势比)的模糊版本。这些模糊指标是根据部分模态的模糊相关度对单元频率进行重新标度后计算出来的。然后在风险因素不存在影响的假设下进行了模拟研究,并根据不同的样本量进行了探索性统计;为扩展仿真结果,提出了一种变换后的线性插值方法。假设每个观测值都有其适当的暴露程度和影响程度,则对重标度方法进行了推广。最后,模糊指数已应用于意大利的一项调查,该调查涉及生活在博洛尼亚省的4500多名65岁以上的人的身体活动与自我感知的健康状况之间的关系。
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
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