Meta-analysis of full ROC curves using bivariate time-to-event models for interval-censored data

Research Synthesis Methods

Volumn 9, Issue 1, 2018, Pages 62-72

  Hoyer, Annika ^a   Hirt, Stefan ^b   Kuss, Oliver ^a  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b ClinStat Köln   (Germany)

Author keywords

interval censored data; meta analysis; ROC curve; time to event model

Indexed keywords

ALGORITHM; AREA UNDER THE CURVE; HUMAN; META ANALYSIS (TOPIC); NON INSULIN DEPENDENT DIABETES MELLITUS; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL BIAS; STATISTICAL MODEL; TIME FACTOR;

ALGORITHMS; AREA UNDER CURVE; BIAS; DIABETES MELLITUS, TYPE 2; HUMANS; META-ANALYSIS AS TOPIC; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 85038446759     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1273     Document Type: Article

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