RehaBEAT RCT – de-identified dataset

De-identified participant-level data (n = 24) from the RehaBEAT randomized controlled trial (ReBEC RBR-32xntk4): group allocation and pre/post scores for 14 outcomes. Supports the manuscript ‘A Statistical Pipeline for Small-Sample Equivalence RCTs…’. Code: github.com/danilosantosrocha19-stack/tost-bootstrap-copula-pipeline

Authors

Publication Details

Journal
Open Science Framework
Published
2026-10-27
DOI
https://doi.org/10.17605/osf.io/jf64t
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

RehaBEAT RCT – de-identified dataset

Danilo Santos Rocha
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Open Science Framework
Statistical Methods in Clinical Trials
article

RehaBEAT RCT – de-identified dataset

Danilo Santos Rocha
article en

Abstract

De-identified participant-level data (n = 24) from the RehaBEAT randomized controlled trial (ReBEC RBR-32xntk4): group allocation and pre/post scores for 14 outcomes. Supports the manuscript ‘A Statistical Pipeline for Small-Sample Equivalence RCTs…’. Code: github.com/danilosantosrocha19-stack/tost-bootstrap-copula-pipeline

Open Science Framework
Good health and well-being
Openalex Percentile: Top 12%
Statistical Methods in Clinical Trials
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RehaBEAT RCT – de-identified dataset — Danilo Santos Rocha · Open Science Framework (2026) | TGRS Research Map | TGRS