Bootstrap is a statistical technique that allows approximating statistics (e.g. average, variance, confidence interval) of data from the data itself.
Black lines represent the 95% confidence intervals of data predictions.
For each of these address records, the proportions (and corresponding 95percentnt confidence limits) of data elements which were assigned to the wrong output field, or which were not assigned to an output field at all, were calculated.
However, parameter estimates generally fall within the confidence intervals of data from other resource-limited settings, including first- and second-line ART effectiveness at 24 weeks and 18-month loss from care [ 27, 35- 38].
This helped localise functional abnormalities and clarified equivocal situations, thus improving the accuracy and confidence of the data interpretation.
We took (1 − P) as a measure of the statistical confidence of the data and conventionally set a threshold of the statistical confidence to be 99.9%.
The MOID algorithm provides a p-value for each measurement and thus a metric to evaluate the confidence of each data point.
Details on these scoring methods and data consolidation strategies are listed in Additional file 9. PASW Statistics 18 version 18.0.2 (SPSS, IBM Corporation, Chicago, Illinois, USA) was used to evaluate statistical confidence of the data.
We conducted our expression analysis in three different mouse lines, not only to increase the confidence of our data set but also to investigate whether any PRL/PL family members are expressed differently between commonly used strains.
