CSpace
Group testing can improve the cost-efficiency of prospective-retrospective biomarker studies
Zhang, Wei1; Zhang, Zhiwei2; Krushkal, Julia2; Liu, Aiyi3
2021-03-19
Source PublicationBMC MEDICAL RESEARCH METHODOLOGY
Volume21Issue:1Pages:10
AbstractBackground Cancer treatment is increasingly dependent on biomarkers for prognostication and treatment selection. Potential biomarkers are frequently evaluated in prospective-retrospective studies in which biomarkers are measured retrospectively on archived specimens after completion of prospective clinical trials. In light of the high costs of some assays, random sampling designs have been proposed that measure biomarkers for a random sub-sample of subjects selected on the basis of observed outcome and possibly other variables. Compared with a standard design that measures biomarkers on all subjects, a random sampling design can be cost-efficient in the sense of reducing the cost of the study substantially while achieving a reasonable level of precision. Methods For a biomarker that indicates the presence of some molecular alteration (e.g., mutation in a gene), we explore the use of a group testing strategy, which involves physically pooling specimens across subjects and assaying pooled samples for the presence of the molecular alteration of interest, for further improvement in cost-efficiency beyond random sampling. We propose simple and general approaches to estimating the prognostic and predictive values of biomarkers with group testing, and conduct simulation studies to validate the proposed estimation procedures and to assess the cost-efficiency of the group testing design in comparison to the standard and random sampling designs. Results Simulation results show that the proposed estimation procedures perform well in realistic settings and that a group testing design can have considerably higher cost-efficiency than a random sampling design. Conclusions Group testing can be used to improve the cost-efficiency of biomarker studies.
KeywordBiomarker study design Cost-efficiency Group testing Pooling Two-phase sampling
DOI10.1186/s12874-021-01239-4
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[12001522] ; National Institutes of Health (NIH)
WOS Research AreaHealth Care Sciences & Services
WOS SubjectHealth Care Sciences & Services
WOS IDWOS:000630733800001
PublisherBMC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/58261
Collection中国科学院数学与系统科学研究院
Corresponding AuthorZhang, Zhiwei
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, LSC, Beijing, Peoples R China
2.NCI, Biometr Res Program, Div Canc Treatment & Diagnost, NIH, Bethesda, MD 20892 USA
3.Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Biostat & Bioinformat Branch, NIH, Bethesda, MD USA
Recommended Citation
GB/T 7714
Zhang, Wei,Zhang, Zhiwei,Krushkal, Julia,et al. Group testing can improve the cost-efficiency of prospective-retrospective biomarker studies[J]. BMC MEDICAL RESEARCH METHODOLOGY,2021,21(1):10.
APA Zhang, Wei,Zhang, Zhiwei,Krushkal, Julia,&Liu, Aiyi.(2021).Group testing can improve the cost-efficiency of prospective-retrospective biomarker studies.BMC MEDICAL RESEARCH METHODOLOGY,21(1),10.
MLA Zhang, Wei,et al."Group testing can improve the cost-efficiency of prospective-retrospective biomarker studies".BMC MEDICAL RESEARCH METHODOLOGY 21.1(2021):10.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Wei]'s Articles
[Zhang, Zhiwei]'s Articles
[Krushkal, Julia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Wei]'s Articles
[Zhang, Zhiwei]'s Articles
[Krushkal, Julia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Wei]'s Articles
[Zhang, Zhiwei]'s Articles
[Krushkal, Julia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.