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As for the convergence diagnostic, we use a heuristic that reports two chains as having converged if the L1-distance between two independent estimates of P(Q|S) is within an accepted error threshold (we use 0.025).
The calibration involved the checking of model results against observed data and adjusting the values of the parameters until the model results converged within an acceptable error threshold.
Despite the fact that above the error threshold the target structure is practically not present within the population, parts of the structure are recognized in population averages.
We establish the accuracy of the PC representations within a reasonable error threshold through systematic convergence studies.
The proposed scheme can effectively save the precious battery energy of wireless sensor nodes while keeping the predicted data values of aggregators within application-defined error threshold.
For real morphologies, the number of trips required quickly becomes very large to the point where guaranteeing convergence to within some small error threshold may become computationally expensive.
As shown in the modelling, all iterations of the intervention fell below the accepted WTP threshold.
Cost per QALY was below the accepted NICE threshold in all groups and under all sensitivity assumptions.
Prediction of most parameters stays within a 10% error threshold.
The phenotypic error threshold was formulated under the additive assumption.
Activations were reported if they exceeded the family-wise error threshold of p <.05, corrected for voxels within the region of interest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com