Power calculations for sample size estimates- traditional and alternative analysis. (e.g. Clustered data)

Traditional sample size calculations supporting clinical studies; while also addressing considerations for sample sizes in omics-based cluster/pattern analysis, which depend on multiple variables.
Published

February 22, 2024

Files from session:

Articles discussed were (Kerry and Bland 1998a) (Kerry and Bland 1998b) and (Tarazona and Conesa 2020).

The EpiBasic spreadsheet was used and can be downloaded from: https://ph.medarbejdere.au.dk/undervisning/software

References

Kerry, S. M., and J. M. Bland. 1998a. “Sample Size in Cluster Randomisation.” https://doi.org/10.1136/bmj.316.7130.549.
———. 1998b. “The Intracluster Correlation Coefficient in Cluster Randomisation.” https://doi.org/10.1136/bmj.316.7142.1455.
Tarazona, Sonia, and Ana Conesa. 2020. “Harmonization of Quality Metrics and Power Calculation in Multi-Omic Studies.” https://doi.org/10.1038/s41467-020-16937-8.