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Authors:
Hinnenthal, Marie 
Document type:
Dissertation / Thesis 
Title:
Endpoint-oriented clustering of individual patient data 
Subtitle:
A new approach for the health economic evaluation of medical interventions 
Advisor:
Brieden, Andreas, Prof.-Dr. 
Referee:
Brieden, Andreas, Prof.-Dr.; Steinhardt, Claudius, Prof.-Dr. 
Date oral examination:
11.07.2017 
Publication date:
04.12.2017 
Year:
2017 
Language:
Englisch 
Subject:
Patientendaten ; Cluster-Analyse ; Metaanalyse ; Heterogenität ; Hochschulschrift 
Keywords:
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 
Department:
Fakultät für Wirtschafts- und Organisationswissenschaften 
Institute:
WOW 1 - Institut für Controlling, Finanz- und Risikomanagement 
Chair:
Brieden, Andreas 
Open Access yes or no?:
Ja / Yes