Problematic trial detection in ClinicalTrials.gov
Clinical trials are crucial in determining the effectiveness of treatments and directly affect clinical and policy decisions. These decisions are undermined if the data are problematic due to data fabrication or other errors. Researchers have worked on developing statistical methods to detect pro...
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Pensoft Publishers
2015-12-01
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| Series: | Research Ideas and Outcomes |
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| Online Access: | https://riojournal.com/article/7462/ |
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doaj-6d717889465a4949ab1cb1d2e4eb86822020-11-25T01:30:55ZengPensoft PublishersResearch Ideas and Outcomes2367-71632015-12-0111910.3897/rio.1.e74627462Problematic trial detection in ClinicalTrials.govChris Hartgerink0Stephen George1Tilburg UniversityDuke University Clinical trials are crucial in determining the effectiveness of treatments and directly affect clinical and policy decisions. These decisions are undermined if the data are problematic due to data fabrication or other errors. Researchers have worked on developing statistical methods to detect problematic data. This project aims to develop new methods and apply them to results reported in the ClinicalTrials.gov database. Using both established and and the newly developed statistical methods we will investigate the prevalence of problematic data, trends of problematic data over time, and whether the prevalence of problematic data is predicted by trial characteristics such as funding type. https://riojournal.com/article/7462/clinicaltrials.govproblematic dataerrorda |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Chris Hartgerink Stephen George |
| spellingShingle |
Chris Hartgerink Stephen George Problematic trial detection in ClinicalTrials.gov Research Ideas and Outcomes clinicaltrials.gov problematic data error da |
| author_facet |
Chris Hartgerink Stephen George |
| author_sort |
Chris Hartgerink |
| title |
Problematic trial detection in ClinicalTrials.gov |
| title_short |
Problematic trial detection in ClinicalTrials.gov |
| title_full |
Problematic trial detection in ClinicalTrials.gov |
| title_fullStr |
Problematic trial detection in ClinicalTrials.gov |
| title_full_unstemmed |
Problematic trial detection in ClinicalTrials.gov |
| title_sort |
problematic trial detection in clinicaltrials.gov |
| publisher |
Pensoft Publishers |
| series |
Research Ideas and Outcomes |
| issn |
2367-7163 |
| publishDate |
2015-12-01 |
| description |
Clinical trials are crucial in determining the effectiveness of treatments and directly affect clinical and policy decisions. These decisions are undermined if the data are problematic due to data fabrication or other errors. Researchers have worked on developing statistical methods to detect problematic data. This project aims to develop new methods and apply them to results reported in the ClinicalTrials.gov database. Using both established and and the newly developed statistical methods we will investigate the prevalence of problematic data, trends of problematic data over time, and whether the prevalence of problematic data is predicted by trial characteristics such as funding type.
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| topic |
clinicaltrials.gov problematic data error da |
| url |
https://riojournal.com/article/7462/ |
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AT chrishartgerink problematictrialdetectioninclinicaltrialsgov AT stephengeorge problematictrialdetectioninclinicaltrialsgov |
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