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 fur
ther review the ROC curve and the area under it as a popular statistical to
ol for evaluating the ability of a marker to distinguish between two popula
tions. Finally we provide an extension to the ROC analysis when several mar
kers are available. (C) 2000 Elsevier Science Inc. All rights reserved.