2021
DOI: 10.1177/1740774520976617
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Making a distinction between data cleaning and central monitoring in clinical trials

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Cited by 5 publications
(3 citation statements)
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“…Elsewhere, data cleaning is often confused with monitoring. 38 Lack of structured language for describing monitoring Most protocol papers in this review did not provide a dedicated, structured paragraph to describe monitoring and this might jeopardise readability. The example given below shows a reasonable succinct description of monitoring.…”
Section: Auditing Is Misleading In Describing Monitoringmentioning
confidence: 99%
“…Elsewhere, data cleaning is often confused with monitoring. 38 Lack of structured language for describing monitoring Most protocol papers in this review did not provide a dedicated, structured paragraph to describe monitoring and this might jeopardise readability. The example given below shows a reasonable succinct description of monitoring.…”
Section: Auditing Is Misleading In Describing Monitoringmentioning
confidence: 99%
“…Trial management should provide for smooth and reliable trial procedures including participant recruitment, randomisation, intervention application, data collection, and data cleaning [ 20 , 21 ]. Data cleaning and checking of recruitment and retention rates, for instance, need to be performed in a timely fashion, so that corrective measures can be taken early on and detrimental effects on the trial can be avoided [ 22 ]. Trial monitoring is most effective when performed on cleaned data, because incorrect processes may be missed due to poor data quality and monitoring efforts are wasted on individual data errors.…”
Section: Introductionmentioning
confidence: 99%
“…17 18 Data cleaning and checking of recruitment and retention rates, for instance, need to be performed in a timely fashion, so that corrective measures can be taken early on and detrimental effects on the trial can be avoided. 19 Trial monitoring is most effective when performed on cleaned data, because incorrect processes may be missed due to poor data quality and monitoring efforts are wasted on individual data errors. Therefore, trial management and monitoring ideally are integrated tasks that make use of accumulating data during trial conduct, i.e.…”
Section: Introductionmentioning
confidence: 99%