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使用费思校正从分组检测数据估计对数优势比。

Estimation of log-odds ratio from group testing data using Firth correction.

作者信息

Roy Surupa, Banerjee Tathagata

机构信息

Department of Statistics, St Xavier's College, Kolkata, India.

Indian Institute of Management, Ahmedabad, Vastrapur, Ahmedabad, India.

出版信息

Biom J. 2019 May;61(3):714-728. doi: 10.1002/bimj.201800125. Epub 2019 Jan 15.

Abstract

We consider the estimation of the prevalence of a rare disease, and the log-odds ratio for two specified groups of individuals from group testing data. For a low-prevalence disease, the maximum likelihood estimate of the log-odds ratio is severely biased. However, Firth correction to the score function leads to a considerable improvement of the estimator. Also, for a low-prevalence disease, if the diagnostic test is imperfect, the group testing is found to yield more precise estimate of the log-odds ratio than the individual testing.

摘要

我们考虑从分组检测数据中估计一种罕见疾病的患病率,以及两个特定个体组的对数优势比。对于低患病率疾病,对数优势比的最大似然估计存在严重偏差。然而,对得分函数进行费思校正会使估计量有相当大的改进。此外,对于低患病率疾病,如果诊断测试不完善,发现分组检测比分个体检测能更精确地估计对数优势比。

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