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Design: The study design was prospective and quasi-experimental, and we used a convenience sample with random assignment.
Then, cDNA was synthesized from 1 μg RNA for each sample with random primers according to the protocol of Invitrogen.
We divided the original sample with random allocation of patients in two equivalent groups, one for building the models and the other one for validating them.
Reverse transcription reaction was performed on 10 ng total RNA of each patient sample with random hexamers using SuperScript III First-Strand Synthesis System (Life Technologies, Carlsbad, CA), according to the manufacturer's instructions.
This difference may be due to different hospital sizes, as university hospitals were more frequent in the EPIC sample (35%) and ICUs participated by invitation, in contrast to our representative sample with random selection of ICUs.
The EM algorithm is applied on the new sample with random reinitialization of the Gaussian components that are not fixed yet (the means are set to randomly chosen observations from the new sample).
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In this algorithm, we first prepare a group of virtual samples with random samplings from a certain initial range for each parameter to estimate.
A longitudinal quasi-experimental design was conducted, using two equivalent groups for pre post test and purposive sampling with random assignment.
Purposive sampling with random sampling of 592 operators was undertaken.
To obtain the permutes, we swapped random stretch samples with random control samples.
A sample of 877 private pharmacies was selected (using a stratified, systematic sampling with random start), among which 847 were successfully visited.
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