Grouping methods for estimating the prevalences of rare traits from complex survey data that preserve confidentiality of respondents.

ABSTRACT: Originally, 2-stage group testing was developed for efficiently screening individuals for a disease. In response to the HIV/AIDS epidemic, 1-stage group testing was adopted for estimating prevalences of a single or multiple traits from testing groups of size q, so individuals were not tested. This paper extends the methodology of 1-stage group testing to surveys with sample weighted complex multistage-cluster designs. Sample weighted-generalized estimating equations are used to estimate the prevalences of categorical traits while accounting for the error rates inherent in the tests. Two difficulties arise when using group testing in complex samples: (1) How does one weight the results of the test on each group as the sample weights will differ among observations in the same group. Furtherm

SUBMITTER: Hyun N 

PROVIDER: S-EPMC6682315 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature