Estimates for survival and SCC appear less powerful than milk production traits with moderate error rates, again likely reflecting lower heritabilities for these traits.
Using IMPUTE2, SNP genotypes up to 800K were imputed with low allelic error rate (0.79% genome-wide) from 50K genotypes, and with moderate error rate from 3K (4.78%) and 7K (2.00%) genotypes.
50K specific genotypes were imputed with moderate allelic error rates from 15K (2.85%) and 25K (2.75%) genotypes.
As the correlation coefficients reported in the bottom row of Table 2 indicate, scores on the attention switching test did not moderate the increase in calculation error with articulatory suppression.
The between study variability (i.e. heterogeneity) beyond what could be expected by sampling error was moderate with an I 2 of 40% (p = 0.09) for the sensitivity results and high with an I 2 of 84% (p < 0.01) for the specificity results.
In patients with hip OA the test-retest reliability of the total PASE score was moderate, with acceptable ICC, but with large measurement errors.
The mean absolute error also showed a relatively moderate model precision with low average error of predictions of 0.38%.
Democratic leaders realize the race must be run without error, with special attention paid to women and moderate Republicans who remember Mr. Sanford's rocky relationship with the Legislature when he was in office and, of course, his affair.
Sampling assuming a standard design of 50 randomly selected children from five schools per district, tended to produce no bias with moderate mean absolute errors of around 3 6% in pre- and post-MDA settings.
A correct answer combined with high certainty (relatively or very certain) was stated as low risk of error (score = 1), any answer combined with low certainty (relatively or very uncertain) was stated as moderate risk of error (score = 2), and incorrect answer combined with high certainty (relatively or very certain) was regarded as high risk of error (score = 3).
Just a few days ago, I moderated a webinar with four leading researchers and statisticians to discuss the use of margin of error with non-probability samples.
