Incorporating retesting outcomes for estimation of disease prevalence

doi:10.1002/sim.8439

CSpace

	Incorporating retesting outcomes for estimation of disease prevalence
	Zhang, Wei 1,2; Liu, Aiyi 2; Li, Qizhai 1; Albert, Paul S.3
	2019-11-23
发表期刊	STATISTICS IN MEDICINE
ISSN	0277-6715
页码	11
摘要	Group testing has been widely used as a cost-effective strategy to screen for and estimate the prevalence of a rare disease. While it is well-recognized that retesting is necessary for identifying infected subjects, it is not required for estimating the prevalence. For a test without misclassification, gains in statistical efficiency are expected from incorporating retesting results in the estimation of the prevalence. However, when the test is subject to misclassification, it is not clear how much gain should be expected. There are a number of theoretical challenges in addressing this issue, including (1) enumerating the potential test results from retesting individual subjects in a group, (2) the dependence among these test results and the test result from testing at the group level, and (3) differential misclassification due to pooling of biospecimens. Overcoming some of these challenges, we show that retesting subjects in either positive or negative groups can substantially improve the efficiency of the estimation and that retesting positive groups yields higher efficiency than retesting a same number or proportion of negative groups.
关键词	differential misclassification efficiency human immunodeficiency virus group testing Lagrange's identity prevalence retesting
DOI	10.1002/sim.8439
收录类别	SCI
语种	英语
资助项目	Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) ; Beijing Natural Science Foundation[Z180006] ; National Natural Science Foundation of China[11722113] ; Intramural Research Program of the National Cancer Institute (NCI)
WOS研究方向	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics
WOS类目	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Medicine, Research & Experimental ; Statistics & Probability
WOS记录号	WOS:000498043800001
出版者	WILEY
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/50323
专题	中国科学院数学与系统科学研究院
通讯作者	Liu, Aiyi
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing, Peoples R China 2.Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Div Intramural Populat Hlth Res, NIH, Bethesda, MD 20847 USA 3.NIH, Biostat Branch, Div Canc Epidemiol & Genet, Rockville, MD USA
推荐引用方式 GB/T 7714	Zhang, Wei,Liu, Aiyi,Li, Qizhai,et al. Incorporating retesting outcomes for estimation of disease prevalence[J]. STATISTICS IN MEDICINE,2019:11.
APA	Zhang, Wei,Liu, Aiyi,Li, Qizhai,&Albert, Paul S..(2019).Incorporating retesting outcomes for estimation of disease prevalence.STATISTICS IN MEDICINE,11.
MLA	Zhang, Wei,et al."Incorporating retesting outcomes for estimation of disease prevalence".STATISTICS IN MEDICINE (2019):11.