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The primary aim of the LA Health project is to test the efficacy of two school-based approaches for obesity prevention: primary prevention alone and a combination of primary and secondary prevention which will be compared to a no-intervention control group using a cluster randomization research design, with 17 school clusters randomly assigned to the three treatment arms.
Using a cluster randomization trial design, the Corrona statistical group followed the methodologies described by Donner and Klar for power and sample size estimates and the use of mixed-effects models for analytic procedures [ 14].
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The study used a cluster randomization scheme.
Another challenge to our analytical approach was the fact that some of the trials used a cluster-randomization procedure.
In order to prevent chance-findings, data were re-shuffled 1000 times using a cluster-based Monte-Carlo randomization.
Finally, to illustrate the sample size calculation procedures developed here, we use the data taken from a cluster randomization trial to study the association between the dietary sodium and the blood pressure.
To avoid the multiple comparisons problem and to be able to effectively control the type I error rate, we used a nonparametric cluster randomization test [85], [101], [102] for establishing the significance of the time-frequency power difference between any two compared conditions.
We used a convenience study design rather than a cluster randomization design and/or household surveys.
A cluster randomization study in Canadian hospitals demonstrated that a multicomponent blood conservation algorithm reduced the use of ABT and increased ESA use in orthopaedic surgery patients.
Before HH training, each group underwent a cluster randomization.
In using the cluster randomization design with a session being a cluster unit, the patients who are randomized into the experimental and control groups would have less chance to meet each other in the out-patient clinic and discuss the contents of the smoking cessation interventions.
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