A comparison of frequentist and Bayesian approaches to the Personalised Randomised Controlled Trial (PRACTical)—design and analysis considerations

Utilising uncertainty intervals on the treatment coefficient estimates are highly conservative, limiting applicability to large pragmatic trials. Bayesian analysis performed similarly to the frequentist approach in terms of predicting the true best treatment.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-05-29
DOI
https://doi.org/10.1186/s12874-025-02537-x
Citations
1
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
2.63

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article

A comparison of frequentist and Bayesian approaches to the Personalised Randomised Controlled Trial (PRACTical)—design and analysis considerations

Joo Wei Chua, Yin Mo, Holly Jackson, Yiyun Shou et al.
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BMC Medical Research Methodology
Statistical Methods in Epidemiology
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A comparison of frequentist and Bayesian approaches to the Personalised Randomised Controlled Trial (PRACTical)—design and analysis considerations

Joo Wei Chua, Yin Mo, Holly Jackson, Yiyun Shou, Marlieke E.A. de Kraker, Xinru Wang, R. Pérez, Nur Amira Binte Mohamed Azad
article en
1 citations

Abstract

Utilising uncertainty intervals on the treatment coefficient estimates are highly conservative, limiting applicability to large pragmatic trials. Bayesian analysis performed similarly to the frequentist approach in terms of predicting the true best treatment.

BMC Medical Research MethodologyVol. 25(1)
Australian National University (AU), National University of Singapore (SG), World Health Organization (CH), Duke-NUS Medical School (SG), National University Hospital (SG), National University Health System (SG)
Wellcome Trust, European Commission, Ministry of Education - Singapore, Medical Research Council, National Medical Research Council
Openalex Percentile: Top 11%
Statistical Methods in Epidemiology
2.63
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