Clinical Epidemiology Dovepress Open Access to Scientific and Medical Research Open Access Full Text Article Dovepress Specifying Exposure Classification Parameters for Sensitivity Analysis: Family Breast Cancer History
Clinical Epidemiology Dovepress Open Access to Scientific and Medical Research Open Access Full Text Article Dovepress Specifying Exposure Classification Parameters for Sensitivity Analysis: Family Breast Cancer History
复制标题
临床流行病学 Dovepress 开放获取科学研究和医学研究 开放获取全文文章 Dovepress 指定敏感性分析的暴露分类参数：家族乳腺癌史
DOI：
--
复制
发表时间：
--
期刊：
影响因子：
--
通讯作者：
G. Maldonado
中科院分区：
文献类型：
--
作者：
M. E T H O D O L O G Y;A. Jurek;T. Lash;G. Maldonado
对暴露误分类进行敏感性分析的挑战之一是确定分类比例（如敏感性和特异性）的过程。这些作业的规范是由三个信息来源指导的：来自验证研究的估计、专家判断和给定数据的数值约束。本教学论文的目的是描述使用验证数据和专家判断来调整乳腺癌家族史错误分类的优势比的过程。以外部验证数据和专家判断为指导，参数化各点估计和先验分布的敏感性和特异性。我们使用非概率和概率敏感性分析来研究比值比估计对分类误差的依赖性。根据我们的假设，与传统的频率置信区间相比，调整了家族乳腺癌病史错误分类的优势比的范围更大。
One of the challenges to implementing sensitivity analysis for exposure misclassification is the process of specifying the classification proportions (eg, sensitivity and specificity). The specification of these assignments is guided by three sources of information: estimates from validation studies, expert judgment, and numerical constraints given the data. The purpose of this teaching paper is to describe the process of using validation data and expert judgment to adjust a breast cancer odds ratio for misclassification of family breast cancer history. The parameterization of various point estimates and prior distributions for sensitivity and specificity were guided by external validation data and expert judgment. We used both nonprobabilistic and probabilistic sensitivity analyses to investigate the dependence of the odds ratio estimate on the classification error. With our assumptions, a wider range of odds ratios adjusted for family breast cancer history misclassification resulted than portrayed in the conventional frequentist confidence interval.
影响因子：
5.5
作者：
Ziogas, A;Anton-Culver, H
通讯作者：
Anton-Culver, H