Paper details

Title: Power analysis for personal light exposure measurements and interventions

Authors: Johannes Zauner, Ljiljana Udovicic, Manuel Spitschan

Abstract: Obtained from OpenAlex

Our novel method provides an effective technique for estimating sample size in light exposure studies. It is specific to the used light exposure or dosimetry metric and the effect size inherent in the light exposure data at the basis of the bootstrap. Notably, the method goes beyond typical implementations of bootstrapping to appropriately address the structure of the data. It can be applied to other datasets, enabling comparisons across scenarios beyond seasonal differences and activity patterns. With an ever-growing pool of data from the emerging literature, the utility of this method will increase and provide a solid statistical basis for the selection of sample sizes.

OpenAlex: https://openalex.org/W4405281316

CODECHECK details

Certificate identifier: 2024-018

Codechecker name: Stephen J. Eglen

Time of check: 2024-11-28 11:00:00

Repository: https://github.com/codecheckers/ZaunerEtAl_PLoS_ONE_2024

Full certificate: https://doi.org/10.5281/zenodo.14235113

Type: community

Venue: codecheck NL

Summary:

R quarto document that was able to compile, but see certificate for details of issues arising.

Cite this certificate: Citation metadata retrieved from data.crosscite.org

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