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1 Three obligatory phases exist in CPR development before it can be implemented in clinical practice: derivation, validation (narrow and broad), and clinical impact analysis.
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We then show how these approximations may be used in practice, through the derivation of a packet error outage (PEO) metric covering the case where the links experience shadowing on top of block fading, as well as asymptotically optimal power allocations in relay channels under a block fading hypothesis.
We validated the optimized algorithm within a live, prospective EHR-based surveillance system based in the same practice that contributed derivation data (1, 9).
We randomly allocated two thirds of practices to the derivation dataset and the remaining third to the validation dataset; the simple random sampling utility in Stata was used to assign practices to the derivation or validation cohort.
We randomly allocated two thirds of practices to the derivation dataset and the remaining third to the validation dataset; we used the simple random sampling utility in Stata to assign practices to the derivation or validation cohort.
We randomly allocated two thirds of practices to a derivation dataset and retained a third for a validation dataset.
We randomly allocated two thirds of practices to the derivation cohort and the remaining third to a validation cohort.
We randomly allocated two thirds of practices to the derivation dataset and the remaining third to a validation dataset.
We randomly allocated three quarters of these practices to the derivation dataset and the remaining quarter to a validation dataset.
We randomly allocated three-quarters of practices to the derivation data set and the remaining quarter to a validation data set.
We randomly allocated two thirds of practices to a derivation dataset and the remaining third to a validation dataset using the random number utility in Stata.
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