Group sequential testing of the predictive accuracy of a continuous biomarker with unknown prevalence.

ABSTRACT: Group sequential testing procedures have been proposed as an approach to conserving resources in biomarker validation studies. Previously, we derived the asymptotic properties of the sequential empirical positive predictive value (PPV) and negative predictive value (NPV) curves, which summarize the predictive accuracy of a continuous marker, under case-control sampling. A limitation of this approach is that the prevalence cannot be estimated from a case-control study and must be assumed known. In this paper, we consider group sequential testing of the predictive accuracy of a continuous biomarker with unknown prevalence. First, we develop asymptotic theory for the sequential empirical PPV and NPV curves when the prevalence must be estimated, rather than assumed known in a case-control stud

SUBMITTER: Koopmeiners JS 

PROVIDER: S-EPMC4777674 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature