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Projekt Druckansicht

Modellierung von ROC-Kurven in Metaanalysen von Diagnosestudien und Netzwerkmetaanalyse

Antragstellerin Dr. Gerta Rücker
Fachliche Zuordnung Epidemiologie und Medizinische Biometrie/Statistik
Förderung Förderung von 2012 bis 2020
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 214969570
 
Erstellungsjahr 2020

Zusammenfassung der Projektergebnisse

Meta-analysis of diagnostic accuracy (DTA) studies. We introduced and published a new approach to analyse data from meta-analysis of DTA studies reporting data on sensitivity and specificity of arbitrarily many biomarker threshold values reported in the primary studies. It has been implemented in the open source R package diagmeta which is continuously updated. We applied our approach to the diagnosis of asthma and compare it to competing approaches. At present, I am working with a group led by Antonia Zapf to compare our approach to others in an extensive simulation study. Network meta-analysis. Guido Schwarzer and I continued to extend our R package netmeta. The main methodological developments during the second phase of this project were one-stage methods to analyse binary NMA data using one-stage model such as the Mantel-Haenszel method or GLMMs, methods for component network meta-analysis (CNMA), including methods for disconnected networks, and a measure of the importance of each primary study for each network-based treatment effects estimate. We also wrote a new function netbind() to create flexible forest plots for comparing multiple NMAs, for example several CNMA models. All major advances were implemented in the R package netmeta.

Projektbezogene Publikationen (Auswahl)

 
 

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