Zetyra: A Validated Suite of Statistical Calculators for Ecient Clinical Trial Design

Covariate adjustment, group sequential monitoring, and Bayesian predictive probability can substantially improve clinical trial efficiency, yet practical implementation barriers continue to limit adoption. We developed an integrated suite of statistical calculators accompanied by a fully reproducible validation framework addressing three methodologies: (1) CUPED variance reduction for baseline-adjusted power calculations; (2) group sequential boundaries via O'Brien-Fleming, Pocock, and alpha-spending functions; and (3) Bayesian predictive probability for interim decisions. Validation against reference implementations (gsDesign, closed-form solutions) across 51 automated tests yielded maximum deviation of 0.0046 z-score. The full validation suite is publicly available under MIT license, enabling independent verification and extension. Case studies illustrate impact: 30% sample size reduction through covariate adjustment (ρ=0.55) and 25% expected duration reduction via interim monitoring. We discuss implementation considerations in the context of regulatory guidance on covariate adjustment and Bayesian methods. This presentation demonstrates the integrated approach, shares lessons from building a reproducible validation framework, and invites community feedback on generalizing these methods.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-15
DOI
https://doi.org/10.5281/zenodo.18253308
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Zetyra: A Validated Suite of Statistical Calculators for Ecient Clinical Trial Design

Lu Qian
Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods in Clinical Trials
article

Zetyra: A Validated Suite of Statistical Calculators for Ecient Clinical Trial Design

Lu Qian
article en

Abstract

Covariate adjustment, group sequential monitoring, and Bayesian predictive probability can substantially improve clinical trial efficiency, yet practical implementation barriers continue to limit adoption. We developed an integrated suite of statistical calculators accompanied by a fully reproducible validation framework addressing three methodologies: (1) CUPED variance reduction for baseline-adjusted power calculations; (2) group sequential boundaries via O'Brien-Fleming, Pocock, and alpha-spending functions; and (3) Bayesian predictive probability for interim decisions. Validation against reference implementations (gsDesign, closed-form solutions) across 51 automated tests yielded maximum deviation of 0.0046 z-score. The full validation suite is publicly available under MIT license, enabling independent verification and extension. Case studies illustrate impact: 30% sample size reduction through covariate adjustment (ρ=0.55) and 25% expected duration reduction via interim monitoring. We discuss implementation considerations in the context of regulatory guidance on covariate adjustment and Bayesian methods. This presentation demonstrates the integrated approach, shares lessons from building a reproducible validation framework, and invites community feedback on generalizing these methods.

Zenodo (CERN European Organization for Nuclear Research)
Wildlife Information Liaison Development (IN), Zemědělská a ekologická regionální agentura (Czechia) (CZ)
Openalex Percentile: Top 89%
Statistical Methods in Clinical Trials
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