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If an unknown random effect is the dominant source of uncertainty, it is not appropriate to conduct performance evaluations without correcting for that random effect (increasing the uncertainties, correcting the biases or the both).
Such a data-mining approach is recommended for use in detecting and correcting the biases of unmeasured factors in observation studies.
Similar(58)
Correcting the bias using the classical techniques is very difficult.
Without correcting the bias in MODIS data, the MODIS-derived CI could be overestimated.
A mathematical model is used to estimate the local impact density by correcting the bias due to overlapping impacts.
We have described a method for correcting the bias in reverse correlation RF estimates that arises from the asymmetries typical of natural stimuli.
Thus, multiple imputation succeeded in correcting the bias inherent in the Kaplan-Meier method.
The data-mining perturbation analysis described here is recommended for use in detecting and correcting the bias of unmeasured factors in observational studies.
Correcting the bias of a factor with the confounding and effect-modifying potential shown in Figure 1 presents no major challenge.
> -wrap-foot> In this work we have presented a novel mixture-model-based algorithm (BMIQ) for correcting the bias associated with type2 probe values in 450 k studies.
To make such processes accessible to molecular simulation, the strategies developed, in one way or another, are all based on first implementing an artificial boost of solute solute interactions, and then correcting the biasing of the results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com