Improving the design of clinical and observational studies to optimize data quality assessments
Presentation (obstetrics)
DOI:
10.1055/s-0037-1605701
Publication Date:
2017-09-26T17:53:47Z
AUTHORS (4)
ABSTRACT
A key objective in clinical and epidemiological studies is the assurance of a high data quality. Examiners, devices, readers images, but also environmental factors such as room temperatures, ambient light, or examination times may introduce variability measurement errors. This presentation discusses issues related to design implementation observational aiming improve detection potential sources errors from theoretical applied point view.
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