Journal article
Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study
International journal of methods in psychiatric research, Vol.26(3), e1534
09/2017
DOI: 10.1002/mpr.1534
PMCID: PMC6258197
PMID: 28211597
Abstract
We discuss the strategies employed in data quality control and quality assurance for the cognitive core of Neurobiological Predictors of Huntington's Disease (PREDICT-HD), a long-term observational study of over 1,000 participants with prodromal Huntington disease. In particular, we provide details regarding the training and continual evaluation of cognitive examiners, methods for error corrections, and strategies to minimize errors in the data. We present five important lessons learned to help other researchers avoid certain assumptions that could potentially lead to inaccuracies in their cognitive data.
Details
- Title: Subtitle
- Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study
- Creators
- Holly James Westervelt - Vanderbilt University Medical CenterRachel A Bernier - Rhode Island HospitalMelanie Faust - Butler HospitalMary Gover - Rhode Island HospitalH Jeremy Bockholt - University of IowaRoland Zschiegner - Roy J. and Lucille A. Carver College of MedicineJeffrey D Long - University of IowaJane S Paulsen - University of IowaPREDICT-HD Investigators
- Resource Type
- Journal article
- Publication Details
- International journal of methods in psychiatric research, Vol.26(3), e1534
- DOI
- 10.1002/mpr.1534
- PMID
- 28211597
- PMCID
- PMC6258197
- ISSN
- 1049-8931
- eISSN
- 1557-0657
- Grant note
- R01 NS054893 / NINDS NIH HHS R01 NS040068 / NINDS NIH HHS U54 TR001356 / NCATS NIH HHS
- Language
- English
- Date published
- 09/2017
- Academic Unit
- Psychiatry; Psychological and Brain Sciences; Biostatistics
- Record Identifier
- 9984280865702771
Metrics
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