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Public health actions based on invalid data would be a concern.
The impact of invalid data on the reliability of web services has been the object of research in [36].
†Surgical case mix based on procedure specific mortality rates; six cases with invalid data excluded from analysis.
One case was excluded due to invalid data.
Thirteen had invalid employment data and 14 had invalid data on sickness absence.
* Patients with incomplete or invalid data on pharmacy claims were dropped; matched controls for these patients were also dropped.
Incomplete or invalid data on variables that were used in the either the propensity-match analysis (e.g. age, gender) or post-index analysis (e.g. costs).
However the analysis is not critically contingent on precise data values.
The validity of computed associations between health outcomes and measures of GP access such as GP density is contingent on geographical data quality.
After receiving the completed questionnaires, a preprocessing step was applied to remove incomplete or invalid data and based on the study by Hellings J [ 17].
This concept can provide a sample size only contingently (i.e., contingent on data collection and analysis, as per Glaser and Strauss).
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