Incorporating retesting outcomes for estimation of disease prevalence
文献类型：期刊论文
| 作者 | Zhang, Wei1,2; Liu, Aiyi1; Li, Qizhai2; Albert, Paul S.3 |
| 刊名 | STATISTICS IN MEDICINE
 |
| 出版日期 | 2019-11-23 |
| 页码 | 11 |
| 关键词 | differential misclassification efficiency human immunodeficiency virus group testing Lagrange's identity prevalence retesting |
| ISSN号 | 0277-6715 |
| DOI | 10.1002/sim.8439 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000498043800001 |
| 出版者 | WILEY |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/50322]  |
| 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.Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Div Intramural Populat Hlth Res, NIH, Bethesda, MD 20847 USA 2.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing, Peoples R China 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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