Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm.

Zhai R, Gutman R

DOI: 10.1080/00949655.2021.1946806
Published: 2021
Container: Journal of statistical computation and simulation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/00949655.2021.1946806,
  title = {Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm.},
  author = {Zhai R and Gutman R},
  year = {2021},
  journal = {Journal of statistical computation and simulation},
  doi = {10.1080/00949655.2021.1946806},
  url = {https://doi.org/10.1080/00949655.2021.1946806}
}

RIS

TY  - JOUR
TI  - Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm.
AU  - Zhai R
AU  - Gutman R
PY  - 2021
JO  - Journal of statistical computation and simulation
DO  - 10.1080/00949655.2021.1946806
UR  - https://doi.org/10.1080/00949655.2021.1946806
ER  -

APA

R, Z., & R, G. (2021). Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm.. Journal of statistical computation and simulation. https://doi.org/10.1080/00949655.2021.1946806

Source records

pubmed · retrieved 2026-09-25T18:57:16.141Z
europe-pmc · retrieved 2026-09-25T18:57:16.140Z