Sample Size and Power Calculations for Trials and Quasi-Experimental Studies with Clustering:

@inproceedings{Batistatou2014SampleSA,
  title={Sample Size and Power Calculations for Trials and Quasi-Experimental Studies with Clustering:},
  author={Evridiki Batistatou and Chris Roberts and Steven Roberts},
  year={2014}
}
This article considers the estimation of power and sample size in experimental and quasi-experimental intervention studies, where there is clustering of subjects within one or both intervention arms, for both continuous and binary outcomes. A new command, clsampsi, which has a wide range of options, calculates the power and sample size needed (that is, the number of clusters and cluster size) by using the noncentral F distribution as described by Moser, Stevens, and Watts (1989, Communications… CONTINUE READING

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