article
On the use of a pilot sample for sample size determination
Statistics in Medicine · 1995 · Vol. 14(17) · pp. 1933–1940
Richard Browne✉(Texas Scottish Rite Hospital for Children)
Abstract
To compute the sample size needed to achieve the planned power for a t-test, one needs an estimate of the population standard deviation sigma. If one uses the sample standard deviation from a small pilot study as an estimate of sigma, it is quite likely that the actual power for the planned study will be less than the planned power. Monte Carlo simulations indicate that using a 100(1-gamma) per cent upper one-sided confidence limit on sigma will provide a sample size sufficient to achieve the planned power in at least 100(1-gamma) per cent of such trials.
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsStatistical Methods and InferenceSample size determinationStatisticsSample (material)Monte Carlo methodStandard deviationConfidence intervalSigmaPower (physics)MathematicsPopulation
MeSH terms
Clinical Trials as TopicHumansMonte Carlo MethodPilot ProjectsReproducibility of ResultsConfidence Intervals
Citations
1,021
FWCI
1.38
field-weighted impact
References
9
Percentile
83%
vs. same field & year
Citations per year
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References
CONSORT statement: extension to cluster randomised trials
BMJ · 2004 · 2,563 citations
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