A simple modeling-free method provides accurate estimates of sensitivity and specificity of longitudinal disease biomarkers

Methods of Information in Medicine

Volumn 48, Issue 3, 2009, Pages 299-305

  Subtil, F ^a,b,c,d   Pouteil Noble, C ^b,c,e   Toussaint, S ^b,c,e   Villar, E ^b,c,e   Rabilloud, M ^a,b,c,d  

^a HOSPICES CIVILS DE LYON   (France)

^b UNIVERSITÉ DE LYON   (France)

^c UNIVERSITÉ LYON 1   (France)

^d LABORATOIRE DE BIOMÉTRIE ET BIOLOGIE EVOLUTIVE   (France)

^e CENTRE HOSPITALIER LYON SUD   (France)

Author keywords

Biological markers; Early diagnosis; Longitudinal study; Prognosis; Sensitivity and specificity

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; BAYES THEOREM; CYTOMEGALOVIRUS INFECTION; EARLY DIAGNOSIS; KIDNEY TRANSPLANTATION; LONGITUDINAL STUDY; PROGNOSIS; SENSITIVITY AND SPECIFICITY;

BAYES THEOREM; BIOLOGICAL MARKERS; CYTOMEGALOVIRUS INFECTIONS; EARLY DIAGNOSIS; KIDNEY TRANSPLANTATION; LONGITUDINAL STUDIES; PROGNOSIS; SENSITIVITY AND SPECIFICITY;

EID: 67650483680     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME0583     Document Type: Article

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