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Autoren:
Hinnenthal, Marie 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Endpoint-oriented clustering of individual patient data 
Untertitel:
A new approach for the health economic evaluation of medical interventions 
Betreuer:
Brieden, Andreas, Prof.-Dr. 
Gutachter:
Brieden, Andreas, Prof.-Dr.; Steinhardt, Claudius, Prof.-Dr. 
Tag der mündlichen Prüfung:
11.07.2017 
Publikationsdatum:
04.12.2017 
Jahr:
2017 
Sprache:
Englisch 
Schlagwörter:
Patientendaten ; Cluster-Analyse ; Metaanalyse ; Heterogenität 
Stichwörter:
clustering, meta-analysis, heterogeneity 
Abstract:
In the age of big data, the collection of individual patient information, with the help of clinical trials, is becoming an increasingly important area of healthcare. These large amounts of data have the potential to provide an improved medical care for patients. Especially with regard to the health economic evaluation of medical interventions, the analysis of this data can lead to a better patient-oriented medication in terms of evidence-based medicine. Meta-analytic approaches for the evaluatio...    »
 
DDC-Notation:
338.473621 
Fakultät:
Fakultät für Wirtschafts- und Organisationswissenschaften 
Institut:
WOW 1 - Institut für Controlling, Finanz- und Risikomanagement 
Professur:
Brieden, Andreas 
Open Access ja oder nein?:
Ja / Yes