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A. Gayet-Ageron

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Open access Oct 2026

Bayesian probabilistic statements for communicating clinical trial results

Clinical trials are often analyzed using frequentist methods and results are interpreted according to their statistical significance. However, p-values and effect measures such as odds or hazard ratios are poorly understood by researchers and policymakers, and even less by patients and clinicians. Moreover, communicati...

O. Efthimiou, K. Chalkou, G. Siontis et al. · 0 citations
Open access Oct 2026

Probabilistic interpretation of clinical trial results to improve interpretation and communication of findings

Clinical trials are usually analyzed using frequentist methods and interpreted through p-values, which are often poorly understood. In contrast, Bayesian analyses yield probabilistic statements that offer a more intuitive interpretation of treatment effects and uncertainty. To demonstrate the utility of pr...

G. Siontis, K. Chalkou, T. Perneger et al. · 0 citations

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