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To offset the data quality risks associated with the move to a voluntary survey, the agency took many measures to reduce risks, and invested a great deal of effort in assessing and reporting on the quality of the resulting estimates.
While low response rates do not necessarily correlate to poor data quality, risks for non-response bias do increase with lower response rates.
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However, eight of these were not originally designed for this purpose, and there is considerable controversy surrounding data quality, risk adjustment, patient use and interpretation, and surgeons' subsequent case selection.
Rigorous methodological quality includes, among other considerations, data quality and appropriate risk adjustment [ 15, 48].
I commend Conrad and Becker (2011) for frankly discussing the criteria by which to judge data quality in chemical risk assessment.
Inadequate presentation of performance, lack of confidence in data quality and the risk of adverse consequences are mentioned as reasons [ 14, 16].
A Working Group for "the development of standards in the areas of health, safety and environmental aspects of nanotechnologies" (http://www.iram.org.ar/): methodologies and data quality analysis for risk assessment.
Data quality for denominator (population at risk) data, although often overlooked, can also be a problem.
The stringency of this protocol is designed to ensure data quality, but carries the risk of sampling bias.
Advance email communication with participants can also help improve data quality and reduce the risk of re-wear by notifying the date on which the participant should expect their survey pack to arrive.
It also recommends that the Department for Business, Innovation and Skills could reduce the risks to data quality through the use of "more formal protocols" over data ownership, validation and reporting.
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