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Unsurprisingly, the quality of data on water consumption in national studies has been questioned, as the use of inconsistent methodologies will probably result in incomplete data collections [ 1].
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This can be achieved by data collection for shorter periods, by implication incomplete data collection, or extending recall windows so that data are collected completely.
Fifteen patients were excluded because of incomplete data collection.
Patients with incomplete data collection or refusing to participate in the study have been excluded.
Four participants out of the 32 initially included in the ophthalmology study were excluded because of incomplete data collection during the expedition resulting in 28 mountaineers available for analysis.
Patients with concomitant carcinoma in situ (CIS) or a short term follow-up period (less than 6 months), and those that underwent radical cystectomy or for whom there was incomplete data collection, were excluded to make the study population more homogeneous.
Different strategies for incomplete data collection were compared with complete data collection.
Due to incomplete data collection in some cases, the denominator varied for different calculations.
Table 6 illustrates the precision regarding change in standard deviation due to incomplete data collection.
For resource categories suitable for incomplete data collection, different kinds of cost calculations were employed.
Comparisons of complete and incomplete data collection using interpolation are shown in Table 5.
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CEO of Professional Science Editing for Scientists @ prosciediting.com