Results from a review on R packages for data quality assessments in observational health research, presented at the 17. Jahrestagung DGEpi in Greifswald.This work was also supported by the DFG (NFDI 13/1, SCHM 2744/9-1, SCHM 2744/3-1), and by the German Federal Ministry of Education and Research (BMBF) within the Medical Informatics Initiative (MIRACUM Consortium, FKZ: 01ZZ1801A)
The assessment of data quality and suitability plays an important role in improving the validity and...
This is the extracted data and R codes related to: Superchi C, González JA, Solà I, Cobo E, Hren D, ...
Introduction: Health information is a prerequisite of informed decision-making. Criteria for develop...
Slides from a workshop on assessing data quality with the R programming language, presented at the 1...
Data quality assessments (DQA) are necessary to ensure valid research results. Despite the growing a...
BACKGROUND: No standards exist for the handling and reporting of data quality in health research. Th...
This is the data and R-code for reproducing the results in the article 'An observational study on th...
To improve data quality, clinical cohort studies require ongoing centralized data monitoring. Result...
Advances in standardization of observational healthcare data have enabled methodological breakthroug...
OBJECTIVE: Advances in standardization of observational healthcare data have enabled methodological ...
The dynamic network of 31 research data centres (RDCs) accredited by the German Data Forum (Rat für ...
This Delphi study includes an analysis of 3 × 3 data quality assessment (DQA), an electronic health ...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
Politics, science, research and the public base their discussions on comprehensive, valid and system...
Since its establishment in 2004, the German Data Forum (RatSWD), which is funded by the German Fede...
The assessment of data quality and suitability plays an important role in improving the validity and...
This is the extracted data and R codes related to: Superchi C, González JA, Solà I, Cobo E, Hren D, ...
Introduction: Health information is a prerequisite of informed decision-making. Criteria for develop...
Slides from a workshop on assessing data quality with the R programming language, presented at the 1...
Data quality assessments (DQA) are necessary to ensure valid research results. Despite the growing a...
BACKGROUND: No standards exist for the handling and reporting of data quality in health research. Th...
This is the data and R-code for reproducing the results in the article 'An observational study on th...
To improve data quality, clinical cohort studies require ongoing centralized data monitoring. Result...
Advances in standardization of observational healthcare data have enabled methodological breakthroug...
OBJECTIVE: Advances in standardization of observational healthcare data have enabled methodological ...
The dynamic network of 31 research data centres (RDCs) accredited by the German Data Forum (Rat für ...
This Delphi study includes an analysis of 3 × 3 data quality assessment (DQA), an electronic health ...
BackgroundDecision-making and strategies to improve service delivery must be supported by reliable h...
Politics, science, research and the public base their discussions on comprehensive, valid and system...
Since its establishment in 2004, the German Data Forum (RatSWD), which is funded by the German Fede...
The assessment of data quality and suitability plays an important role in improving the validity and...
This is the extracted data and R codes related to: Superchi C, González JA, Solà I, Cobo E, Hren D, ...
Introduction: Health information is a prerequisite of informed decision-making. Criteria for develop...