Group testing regression model estimation when case identification is a goal.

ABSTRACT: Group testing is frequently used to reduce the costs of screening a large number of individuals for infectious diseases or other binary characteristics in small prevalence situations. In many applications, the goals include both identifying individuals as positive or negative and estimating the probability of positivity. The identification aspect leads to additional tests being performed, known as "retests", beyond those performed for initial groups of individuals. In this paper, we investigate how regression models can be fit to estimate the probability of positivity while also incorporating the extra information from these retests. We present simulation evidence showing that significant gains in efficiency occur by incorporating retesting information, and we further examine which testing

SUBMITTER: Zhang B 

PROVIDER: S-EPMC3841014 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature