Estimating the diagnostic likelihood ratio of a continuous marker.

Biostatistics
Wen Gu, Margaret Sullivan Pepe

Abstract

The diagnostic likelihood ratio function, DLR, is a statistical measure used to evaluate risk prediction markers. The goal of this paper is to develop new methods to estimate the DLR function. Furthermore, we show how risk prediction markers can be compared using rank-invariant DLR functions. Various estimators are proposed that accommodate cohort or case-control study designs. Performances of the estimators are compared using simulation studies. The methods are illustrated by comparing a lung function measure and a nutritional status measure for predicting subsequent onset of major pulmonary infection in children suffering from cystic fibrosis. For continuous markers, the DLR function is mathematically related to the slope of the receiver operating characteristic (ROC) curve, an entity used to evaluate diagnostic markers. We show that our methodology can be used to estimate the slope of the ROC curve and illustrate use of the estimated ROC derivative in variance and sample size calculations for a diagnostic biomarker study.

References

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Jan 1, 1993·Cytopathology : Official Journal of the British Society for Clinical Cytology·R W Giard, J Hermans
Aug 23, 2003·Biostatistics·Todd A Alonzo, Margaret Sullivan Pepe
Jun 8, 2004·Biometrics·Margaret Sullivan Pepe, Tianxi Cai
Apr 1, 2005·Medical Decision Making : an International Journal of the Society for Medical Decision Making·A Cecile J W JanssensEwout W Steyerberg
Sep 2, 2005·Epidemiology·Margaret Sullivan Pepe, Gary Longton
Aug 21, 2008·Biostatistics·Wen Gu, Margaret Sullivan Pepe
Aug 30, 2008·Biostatistics·Ying Huang, Margaret Sullivan Pepe
Oct 9, 2008·Journal of the National Cancer Institute·Margaret S PepeJohn D Potter

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Citations

Aug 21, 2013·International Journal of Hematology·Sophie PaczesnyChristy Mumaw
Aug 27, 2013·American Journal of Ophthalmology·Renato LisboaFelipe A Medeiros
Nov 19, 2011·Biometrical Journal. Biometrische Zeitschrift·Donna P AnkerstIan M Thompson
Nov 1, 2017·Biomarkers in Cancer·James Michael MenkeSuan Phaik Khoo
Oct 12, 2018·Proteomics. Clinical Applications·Sophie Paczesny, Jochen Metzger
Apr 7, 2018·Blood·Sophie Paczesny

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