Bayesian adaptive designs for the optimisation of implementation strategies: a virtual re-execution of the Physically Active Children in Education (PACE) trials
- DOI
- 10.1186/s43058-026-01000-2
- Published
- 2026-06-22
- Container
- Implementation Science Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s43058-026-01000-2,
title = {Bayesian adaptive designs for the optimisation of implementation strategies: a virtual re-execution of the Physically Active Children in Education (PACE) trials},
author = {Erin Nolan and Elizabeth Holliday and Christopher Oldmeadow and Alix Hall and Lucy Leigh and Nicole Nathan and Daniel Barker},
year = {2026},
journal = {Implementation Science Communications},
doi = {10.1186/s43058-026-01000-2},
url = {https://doi.org/10.1186/s43058-026-01000-2}
}RIS
TY - JOUR TI - Bayesian adaptive designs for the optimisation of implementation strategies: a virtual re-execution of the Physically Active Children in Education (PACE) trials AU - Erin Nolan AU - Elizabeth Holliday AU - Christopher Oldmeadow AU - Alix Hall AU - Lucy Leigh AU - Nicole Nathan AU - Daniel Barker PY - 2026 JO - Implementation Science Communications DO - 10.1186/s43058-026-01000-2 UR - https://doi.org/10.1186/s43058-026-01000-2 ER -
APA
Nolan, E., Holliday, E., Oldmeadow, C., Hall, A., Leigh, L., Nathan, N., & Barker, D. (2026). Bayesian adaptive designs for the optimisation of implementation strategies: a virtual re-execution of the Physically Active Children in Education (PACE) trials. Implementation Science Communications. https://doi.org/10.1186/s43058-026-01000-2
Source records
- crossref · retrieved 2026-11-09T05:50:51.001Z