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The accuracy of the fitted parameters was examined via the ratios between the standard errors of estimate (SEE) and the best fitted values (Zar 1999).
To quantify the variability between B and C, we defined the statistic as the ratio between the standard errors of the beta-binomial model and the binomial model (Section 3).
The proportion of exons outside of the 99% confidence interval was reduced to 1.8% for the well-matched pair of exomes and to 2.3% for the poorly matched pair (blue lines in Fig. 1B and C, respectively) To quantify this noise in the sequence data, we defined the statistic as the ratio between the standard errors of the beta-binomial model and the binomial model.
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Additionally, the GeneSpring Global Error Model, based on the replicate measurement samples of all genes on the microarray was used to estimate differences between medians, the standard errors among the different clones, and the extreme tails of the distribution of differences.
The error on the epidemic threshold is taken as the greater value between the standard error computed from the 10 realizations and the resolution in transmission probability.
We did not find a correlation between the standard error of measurement (SEM) from the MUEQ-Br revised test-retest scores and the duration to complete the questionnaire.
Therefore, the standard error is commonly computed as the ratio between the standard error of absolute survival and the expected survival (Parkin and Hakulinen, 1991; Estéve et al, 1994).
The Spearman correlation between the standard error of measurement (SEM) of the total score of the questionnaire on test-retest and the time taken(minutes) to complete the questionnaire was calculated.
There did not appear to be a systematic correlation between the standard error of our estimate for the log odds of a swine virus being reported as reassortant (Additional file 1: Figure S5).
This is because that the imputed datasets were obtained based on the estimated PA treatment effect and corresponding underestimated standard error, which led to a difference between the standard error estimated from RELR based on the imputed datasets and that based on the complete data.
Furthermore, there is significant variability between individuals and the standard errors are large.
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