报告题目：非依从的泊松计数方法研究

报告日期：2022/07/04 14:30 腾讯会议:805-826-431

报告内容简介：

The Poisson Item Count Technique (PICT) is a survey method that was recently developed to elicit respondents' truthful answers to sensitive questions. It simplifies the well-known item count technique (ICT) by replacing a list of independent innocuous questions in known proportions with a single innocuous counting question. However, ICT and PICT both rely on the strong “no design effect assumption” (i.e., respondents give the same answers to the innocuous items regardless of the absence or presence of the sensitive item in the list) and “no liar” (i.e., all respondents give truthful answers) assumptions. To address the problem of self-protective behavior and provide more reliable analyses, we introduced a noncompliance parameter into the existing PICT. Based on the survey design of PICT, we considered more practical model assumptions and developed the corresponding statistical inferences. Simulation studies were conducted to evaluate the performance of our method. Finally, a real example of automobile insurance fraud was used to demonstrate our method.

报告人信息——

姓名：吴琴

性别：女

职称：讲师

是否博导：否

所在单位：华南师范大学

职务：无

报告人简介：吴琴，博士，毕业于香港浸会大学统计系，现于华南师范大学工作，讲师。现主持国家面上项目一项，曾参与国家自然科学基金项目一项，相关研究成果被知名统计杂志Statistical Methods in Medical Research， Statistics in Medicine, Biometrical Journal, Statistical Papers等杂志收录。

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