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Published data report perioperative morbidity between 3% and 21% and mortality of 0.2% and 0.5%, and current data are uncommon, largely from previous decades, and almost exclusively single institutional.
Historically, such prospective cohort data are uncommon in Asian American populations.
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Missing data were uncommon in outcome measures.
However, evaluation of computerized veterinary medical records concerning completeness and correctness of the disease data is uncommon.
Missing data were uncommon for variables included in the regression model (0-7.50-7.5%ing dand) and therefore complete case analysis was performed with 95 patients excluded from the analysis because of missing data for covariates.
Linked data systems are uncommon internationally and many researchers will be unable to reproduce this method.
Substantial errors in our dataset are unlikely because classification regimens were applied consistently throughout; validation research on the WADLS (27 ) has shown that missing data items are uncommon (<1%) and that the technical performance of the linkage between records is high (>99% specificity and sensitivity).
These data are not uncommon when comparing to other feedstocks, such as Eucalyptus, after IL pretreatment using [C2mim][OAc] [ 9, 25].
Selective or misleading reports of findings, or conclusions that may not accord fully with the study data, are not uncommon [ 13].
Adjunctive devices that continuously display surrogate, but closely correlated, patient data are not uncommon in ICUs, for example end-tidal carbon dioxide readings are often used as a proxy for arterial carbon dioxide levels and can be a vital asset in the management of mechanical ventilation.
The effect of this absence of data for agents that are uncommon but often cause fatal illnesses is reflected mostly in the number of deaths in our study, 25% of which were not attributed.
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