4.5 Article

Guidance for using pilot studies to inform the design of intervention trials with continuous outcomes

Journal

CLINICAL EPIDEMIOLOGY
Volume 10, Issue -, Pages 153-157

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/CLEP.S146397

Keywords

pilot; feasibility; sample size; power; randomized controlled trial; sensitivity analysis

Funding

  1. NATIONAL CANCER INSTITUTE [P30CA023074] Funding Source: NIH RePORTER
  2. NCI NIH HHS [P30 CA023074] Funding Source: Medline

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Background: A pilot study can be an important step in the assessment of an intervention by providing information to design the future definitive trial. Pilot studies can be used to estimate the recruitment and retention rates and population variance and to provide preliminary evidence of efficacy potential. However, estimation is poor because pilot studies are small, so sensitivity analyses for the main trial's sample size calculations should be undertaken. Methods: We demonstrate how to carry out easy-to-perform sensitivity analysis for designing trials based on pilot data using an example. Furthermore, we introduce rules of thumb for the size of the pilot study so that the overall sample size, for both pilot and main trials, is minimized. Results: The example illustrates how sample size estimates for the main trial can alter dramatically by plausibly varying assumptions. Required sample size for 90% power varied from 392 to 692 depending on assumptions. Some scenarios were not feasible based on the pilot study recruitment and retention rates. Conclusion: Pilot studies can be used to help design the main trial, but caution should be exercised. We recommend the use of sensitivity analyses to assess the robustness of the design assumptions for a main trial.

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