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Practical help for specifying the target difference in sample size calculations for RCTs: the DELTA2 five-stage
Jonathan A Cook1, Steven A Julious2, William Sones1
1Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
This study offers guidance on selecting the target difference for sample size calculations in randomized controlled trials. It provides recommendations to improve practice and reporting for health intervention research.
Area of Science:
- Clinical Trials Methodology
- Health Research Statistics
Background:
- Randomized controlled trials (RCTs) are the gold standard for evaluating health interventions.
- Sample size calculation is critical for RCT design, ensuring adequate statistical power.
- The 'target difference' is a key component in sample size calculations, representing the minimum important difference in outcomes.
Purpose of the Study:
- To provide practical guidance on selecting the target difference for sample size calculations in RCTs.
- To assist researchers and funders in making informed decisions about trial design.
- To improve the quality and reporting of sample size justifications in clinical trials.
Main Methods:
- Development of recommendations through a five-stage process, including literature reviews and stakeholder engagement.
- Utilized a Delphi process and a workshop to refine advice.
- The Difference ELicitation in TriAls (DELTA²) project informed the recommendations.
Main Results:
- 10 recommendations are provided for choosing the target difference and conducting sample size calculations.
- Advice is tailored for definitive trials (Phase III/IV).
- Recommended reporting items for trial proposals, protocols, and results are included.
Conclusions:
- Appropriate sample size is essential for informing clinical practice and optimizing resource allocation.
- The choice of target difference is a critical element in conventional sample size calculations.
- The document aims to enhance practice and reporting for this crucial aspect of trial design.
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