Pilot Studies in clinical research
Open accessAbstract
Pilot studies are small‐scale studies conducted to gather information and provide a foundation for the design of a definitive trial. They do not seek to estimate treatment efficacy or effectiveness themselves but may be used to assess whether a definitive trial is feasible and how it can be carried out. The objectives of a study can be met only if a sufficient number of participants are recruited. A formal power calculation is not usually necessary for a pilot study where the focus is on estimation – for example, of feasibility parameters or the population variance – and the precision of these estimates. However, the sample size should still be justified as appropriate to meet the aims of the trial. The appropriate analysis of a pilot study would usually be a descriptive summary of the parameters of interest, addressing the original trial objectives. The analysis should not contain hypothesis testing for which the trial is not powered. The interpretation of the results should be in line with the feasibility of the planned main trial. The decision‐making process and changes made to the trial design based on the pilot study should be documented, and results presented in accordance with the CONSORT extension for pilot trials. Every effort should be made to publish the trial for transparency and to allow learning to be shared within the research community.
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Sample size of 12 per group rule of thumb for a pilot study
Julious, S. A. (2005) · Pharmaceutical Statistics · doi:10.1002/pst.185 · Cited by 3,068 · see citing works
Self-citationDesign and analysis of pilot studies: recommendations for good practice
Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004) · Journal of Evaluation in Clinical Practice · doi:10.1111/j..2002.384.doc.x · Cited by 2,572 · see citing works
Whitehead, A. L., Julious, S. A., Cooper, C. L., & Campbell, M. J. (2016) · Statistical Methods in Medical Research · doi:10.1177/0962280215588241 · Cited by 1,936 · cited 1× · see citing works
“pilot trial can be used to get an estimate of this.(17) They describe how an external pilot trial sample size can be chosen in order to minimise the sample size of the overall clinical trial programme - the pilot and the main trial added together - and propose stepped rules of thumb for pilot sample sizes.”
Self-citationBillingham, S. A., Whitehead, A. L., & Julious, S. A. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-104 · Cited by 962 · cited 1× · see citing works
“Not all trials need a sample size calculation.(12) This is particularly true for pilot trials.”
Self-citationThe statistical interpretation of pilot trials: should significance thresholds be reconsidered?
Lee, E. C., Whitehead, A. L., Jacques, R. M., & Julious, S. A. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-41 · Cited by 423 · see citing works
Self-citationHow big should the pilot study for my cluster randomised trial be?
Eldridge, S. M., Costelloe, C. E., Kahan, B. C., Lancaster, G. A., & Kerry, S. M. (2016) · Statistical Methods in Medical Research · doi:10.1177/0962280215588242 · Cited by 135 · see citing works
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Research works printed but not linked: 10
- Arain M, Campbell MJ, Cooper CL, et al. What is a pilot or feasibility study? A review of current practice and editorial policy. BMC Med Res Methodol 2010; 10: 67.
- Wilson DT, Walwyn REA, Brown J, Farrin AJ and Brown SR. Statistical challenges in assessing potential efficacy of complex interventions in pilot or feasibility studies. Statistical Methods in Medical Research 2015 doi: 10.1177/0962280215589507 · DOI
- Brown SR, Gregory WM, Twelves CI, et al. Designing phase II trials in cancer: A systematic review and guidance. Br J Cancer 2011; 105: 194-199.
- Jaki T. Uptake of novel statistical methods for early-phase clinical studies in the UK public sector. Clin Trials 2013;10: 344-346
- Wason JMS and Jaki T. A review of statistical designs for improving the efficiency of phase II studies in oncology . Statistical Methods in Medical Research 2015 doi: 10.1177/0962280215588247 · DOI
- Hee SW, Hamborg T, Day D, Madan J, Miller F, Posch M, Zohar S and Stallard N. Decision- theoretic designs for small trials and pilot studies: A review. Statistical Methods in Medical Research 2015 doi: 10.1177/0962280215588245 · DOI
- Stallard N. Decision-theoretic designs for phase II clinical trials allowing for competing studies. Biometrics 2003; 59: 402-409.
- Stallard N, Thall PF and Whitehead J. Decision theoretic designs for phase II clinical trials with multiple outcomes. Biometrics 1999; 55: 971-977.
- Eldridge S and Kerry S. A practical guide to cluster randomised trials in health services research. Sussex, UK: Wiley, 2012.
- Eldridge SM, Ashby D, Feder GS, et al. Lessons for cluster randomized trials in the twenty- first century: a systematic review of trials in primary care. Clin Trials 2004; 1: 80-90
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Lewis, M., Bromley, K., Sutton, C. J., McCray, G., Myers, H. L., & Lancaster, G. A. (2021) · Pilot and Feasibility Studies · doi:10.1186/s40814-021-00770-x · Cited by 330 · see citing works
- Authors
- Julious, S. A.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Julious, Steven A
- ORCID
- Julious, Steven A
- Venue
- Statistical Methods in Medical Research
- Publisher
- SAGE Publications
- Published
- 2016-05-19
- Volume
- 25
- Issue
- 3
- Pages
- 995-996
- ISSN
- 0962-2802 (ISSN-L)
- 1477-0334
- OpenAlex
- W2406268154
- Cited by
- 22
- References
- 6
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 8 · 2022: 1 · 2021: 4 · 2020: 2 · 2017: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Statistical Methods in Medical Research (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- pilot study, trial feasibility, sample size justification, trial design, participant recruitment, hypothesis testing, research transparency
- MeSH terms
- Humans, Pilot Projects, Research Design, Statistics as Topic, Treatment Outcome, Sample Size, Biomedical Research
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