Methodological issues associated with tumor marker development
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The problem of multiplicity is discussed that is one of the major statistical reasons for the conflicting results on the effectiveness of tumor markers and the ROC curve is reviewed as a popular statistical tool for evaluating the ability of a marker to distinguish between two populations.
Abstract
The search for markers as potential prognostic factors for different stages of disease is becoming a major task in clinical research. Enormous amounts of information on the effectiveness of tumor markers are being published, and many of these results are conflicting and thus adding confusion to the area. In this paper we discuss the problem of multiplicity that we believe is one of the major statistical reasons for the conflicting results. We further review the ROC curve and the area under it as a popular statistical tool for evaluating the ability of a marker to distinguish between two populations. Finally we provide an extension to the ROC analysis when several markers are available.