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To carry out the project, a reliable and robust informatics platform was needed for standardized electronic data collection and storage, data quality review, and phenotypic analysis involving cases from multiple sites.
All sites were invited to participate in the data quality review.
All data is standardized across different sources and goes through a rigorous data quality review.
Also, some of these data may contain errors or ambiguities as they only rarely – if at all – undergo independent data quality review [2].
After a data quality review, the open-ended questions were removed from the questionnaire because some participants were responding with amounts of money beyond a reasonable range.
At each ICU, a team of 2 7 study nurses were responsible for paper-based data collection on a daily basis and an ICU physician (co-investigator) supervised the data collection and was responsible for data quality, review of clinical and ventilator data, and interpretation of the chest X-rays (CXR).
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Incorrect documentation of position and presentation has been identified previously through routine data quality reviews.
In addition, the DCC statisticians perform data quality reviews on an ongoing basis.
The NCDB has also undergone multiple data-quality reviews.
Data quality control reviews were conducted weekly by a supervisor who was not involved in direct data entry.
Genotypic data quality was reviewed by assessing departure from Hardy Weinberg equilibrium (HWE), clustering quality (using KBioscience software SNPviewer on their data) and call rates.
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CEO of Professional Science Editing for Scientists @ prosciediting.com