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It is important to note that Bayesian estimates remained more precise in the larger populations but the differences in precision between the two estimation methods were minor (eg, median SE was approximately 0.27 years larger for adjusted Chiang II in populations ranging between 25 000 and 30 000 compared with the Bayesian model) and the practical significance of these differences are small.
Differences in precision of estimated genetic parameters between both designs were small.
It would allow us to identify systematic differences in estimated effect size across types of programme, unconfounded by differences in precision.
Differences in precision between setting and rising GPS RO may be attributed to the modification of the processing algorithms applied to rising cases during the initial period of the COSMIC mission.
Card et al. ([2010]) show that the approach we follow would be invalid if the pattern of estimate sign and significance were generated by differences in precision rather than differences in effect size.
Only minor differences in precision were found (5.0% to 32.0%).
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The difference in precision was greatest when the number of terms was low.
The difference in precision and recall were generally largest for a high number of terms retrieved.
Little difference in Precision is seen for all three methods excluding VSN, which again shows drop in level and stability.
For flexion, no difference in precision was observed.
A value of 1 indicated no difference in precision.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com