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Because the databases were derived from the whole population, another important strength was an exclusion of potential selection bias related to sampling error.
Because the databases were derived from the whole population and they spanned the whole period from the beginning of the NHI to the end of 2009, there was no concern of potential selection bias related to sampling error.
Because the databases were derived from the whole population and they spanned the whole period from the beginning of the marketing of rosiglitazone from 2001 in Taiwan to the end of 2009, there was no concern of potential selection bias related to sampling error.
It is possible that the differences in the moderate activity results reflect motivation to participate in the study; are related to sampling error (i.e., small number of patients); or related to greater encouragement to exercise as a consequence of more frequent healthcare interaction.
The reasons for such low sensitivity are uncertain, but are possibly related to sampling error by the cannulation of only a limited number of ducts per breast and the blockage/disruption of the ductal system by non-invasive or invasive tumours.
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The classical confidence interval (CI) presumes that differences in Sn and Sp between studies are caused only by a statistical instability related to sampling or measurement errors.
The uncertainty in the estimate of per adult sales related to sampling variability (i.e. random error) is estimated at ±0.5 l.
Second, scholars accept findings of no significance as evidence of no relationship (Weisburd et al. 2003), not always recognizing possible problems related to sample sizes, measurement error, or other features of research design.
However, these methods also suffer from shortcomings, including counting inefficiencies, probe sample interaction artifacts (e.g., electron beam degradation of the sample, probe-induced sample movement, artifacts due to electron beam inhomogeneity), sample preparation issues (e.g., sampling errors and debris artifacts related to sample preparation methods), and calibration and focusing errors.
Simulation modeling studies have demonstrated that errors in glucose measurement (which include errors related to sample type and sample collection) lead to marked degradation of glycemic control in tight glucose-control protocols (139).
While this analysis gives an overall estimate of the precision of the measurement related to sample preparation, an additional contribution of error comes from day-to-day variability in the intensity of the light source.
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