Poisson item count techniques with noncompliance

Wu, Qin1; Tang, Man-Lai2; Fung, Derrick Wing-Hong2; Tian, Guo-Liang3

2020-09-09

10.1002/sim.8736

STATISTICS IN MEDICINE   影响因子和分区

0277-6715

1097-0258

ThePoisson 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" (ie, 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" (ie, 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.

hypothesis test noncompliance Poisson item count technique

SCI ; SSCI

英语

其他

National Natural Science Foundation of China (NSFC)[11401226][11801184][11771199] ; Research Grant Council of the Hong Kong Special Administrative Region[UGC/FDS14/P06/17][UGC/FDS14/P02/18] ; National Natural Science Foundation of China[11871124]

Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics

Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability

WOS:000567482600001

WILEY

SOCIAL SCIENCES, GENERAL

Web of Science

1.South China Normal Univ, Sch Math Sci, Dept Stat, Guangzhou, Peoples R China
2.Hang Seng Univ Hong Kong, Sch Decis Sci, Dept Math Stat & Insurance, Hong Kong, Peoples R China
3.Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen, Peoples R China

Wu, Qin,Tang, Man-Lai,Fung, Derrick Wing-Hong,et al. Poisson item count techniques with noncompliance[J]. STATISTICS IN MEDICINE,2020,39(29).

Wu, Qin,Tang, Man-Lai,Fung, Derrick Wing-Hong,&Tian, Guo-Liang.(2020).Poisson item count techniques with noncompliance.STATISTICS IN MEDICINE,39(29).

Wu, Qin,et al."Poisson item count techniques with noncompliance".STATISTICS IN MEDICINE 39.29(2020).