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. 2025 Sep 1;53(9):e1857-e1858.
doi: 10.1097/CCM.0000000000006779. Epub 2025 Sep 2.

The authors reply

Affiliations

The authors reply

Samuel Heuts et al. Crit Care Med. .
No abstract available

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Conflict of interest statement

The authors have disclosed that they do not have any potential conflicts of interest.

References

    1. Pereira TV, Mazer CD, Teja B: Bayesian probabilities and thresholds in meta-analyses and randomized trials in critical care research. Crit Care Med 2025; 53:e1855–e1856
    1. Heuts S, Lee Z-Y, Lew CCH, et al.: Higher versus lower protein delivery in critically ill patients: A systematic review and bayesian meta-analysis. Crit Care Med 2025; 53:e645–e655
    1. Heuts S, Kawczynski MJ, Sayed A, et al.: Bayesian analytical methods in cardiovascular clinical trials: Why, when, and how. Can J Cardiol 2025; 41:30–44
    1. Zampieri FG, Casey JD, Shankar-Hari M, et al.: Using Bayesian methods to augment the interpretation of critical care trials. An overview of theory and example reanalysis of the alveolar recruitment for acute respiratory distress syndrome trial. Am J Respir Crit Care Med 2021; 203:543–552
    1. Heuts S, Kawczynski MJ, Velders BJJ, et al.: Statistical primer: An introduction into the principles of Bayesian statistical analyses in clinical trials. Eur J Cardiothorac Surg 2025; 67:ezaf139

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