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Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R.
Schmidt, Carsten Oliver; Struckmann, Stephan; Enzenbach, Cornelia; Reineke, Achim; Stausberg, Jürgen; Damerow, Stefan; Huebner, Marianne; Schmidt, Börge; Sauerbrei, Willi; Richter, Adrian.
Affiliation
  • Schmidt CO; Institute for Community Medicine, Department SHIP-KEF, University Medicine Greifswald, Greifswald, Germany. carsten.schmidt@uni-greifswald.de.
  • Struckmann S; Institute for Community Medicine, Department SHIP-KEF, University Medicine Greifswald, Greifswald, Germany.
  • Enzenbach C; Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany.
  • Reineke A; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
  • Stausberg J; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Faculty of Medicine, University of Duisburg-Essen, Duisburg, Germany.
  • Damerow S; Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
  • Huebner M; Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA.
  • Schmidt B; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Faculty of Medicine, University of Duisburg-Essen, Duisburg, Germany.
  • Sauerbrei W; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Richter A; Institute for Community Medicine, Department SHIP-KEF, University Medicine Greifswald, Greifswald, Germany.
BMC Med Res Methodol ; 21(1): 63, 2021 04 02.
Article in En | MEDLINE | ID: mdl-33810787

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Data Accuracy Limits: Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Germany Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Data Accuracy Limits: Humans Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Germany Country of publication: United kingdom