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To summarize, BayesRS gave accuracies comparable to, but not always higher than or significantly different from, a simple pooling of the data.
(a) Simple pooling of the raw data and re-calculation of the cumulative sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).
Compared with accuracies obtained with a simple pooling of reference data, the BayesRS approach leads to an extra gain of up to 1.5% for fat yield, but not for the other two traits.
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Thus, mortality among dropouts is much higher and consequently simple pooling of the information results in a significant underestimate of the overall mortality.
Genetic correlations of slaughter and meat quality traits, however, are close to 1. Differences between the variance components in the two test stations have been found and simple pooling of data is problematic with respect to the breeding value estimation.
Thus, simple pooling of death data, even from programs such as ART-LINC, that follow-up a large proportion of their dropout patients, may still produce biased results.
Simple pooling of the deaths that are discovered through routine follow-up and those detected by active patient tracing is not sufficient and the resulting estimates from such a naïve approach may still seriously underestimate overall mortality.
The one-year mortality estimate of 3.4% produced by simple pooling of dropout and non-dropout death information (Method 2) is lower than their one-year mortality estimate of 6.4% generated from active follow-up programs.
The authors performed simple pooling of the data from all trials as if the data came from a single trial.
Simple pooling of sensitivity and specificity may be not the most appropriate approach, as it ignores threshold differences.
In order to use all available information, simple pooling of all single tables could be rather tempting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com