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Conclusions are vulnerable to sampling bias and cherry picking.
In addition MCOD data is not vulnerable to sampling bias.
These data are weighted to extrapolate to national-level estimates and are therefore particularly vulnerable to sampling bias.
Secondly, since this method uses only ten high power fields, the results are vulnerable to sampling bias.
Although this is the current clinical practice, it suffers from high inter- and intra-observer variability and is vulnerable to sampling bias.
On the other hand, to date, most research providing population-based estimates [ 4- 7] relies on hospital data samples that are weighted to extrapolate to national-level estimates and are, therefore, particularly vulnerable to sampling bias [ 16].
Similar(54)
Some voters — and customers — are harder to reach than others, and that can lead to sampling bias.
These factors can lead to sampling bias.
The independent reviewers also identified biases in many studies, primarily related to sampling bias.
To assess the robustness of the above estimates to sampling bias, we used two approaches.
Low participation rates can lead to sampling bias, delays in completion and increased costs.
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