2004
DOI: 10.1002/sim.1807
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Analysis of pilot and early phase studies with small sample sizes

Abstract: The need for statistical methodologies for analysing a small size study, such as a pilot or so-called 'proof of concept' study, has not been paid much attention in the past. Recently the Institute of Medicine (IOM) formed a committee and held a workshop to discuss methodologies for conducting clinical trials with small number participants. In this paper we argue that the hypothesis of treatment effect in a small pilot study should be set up to test whether any individual subject has an effect rather than wheth… Show more

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Cited by 35 publications
(27 citation statements)
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“…In particular, testing of a null hypothesis as advocated by statisticians and scientists who conduct clinical trials is almost never the correct method for reaching a triage conclusion. Shih et al 5 have pointed out that one alternative is to replace the conventional test of a difference-between-groups with a procedure that focuses on whether there is evidence that any particular patient or group of patients benefits from a treatment modality. While such an approach is frowned on in phase III studies, it seems eminently sensible for phase I studies.…”
Section: The Question Of Whether or Not To Proceedmentioning
confidence: 99%
“…In particular, testing of a null hypothesis as advocated by statisticians and scientists who conduct clinical trials is almost never the correct method for reaching a triage conclusion. Shih et al 5 have pointed out that one alternative is to replace the conventional test of a difference-between-groups with a procedure that focuses on whether there is evidence that any particular patient or group of patients benefits from a treatment modality. While such an approach is frowned on in phase III studies, it seems eminently sensible for phase I studies.…”
Section: The Question Of Whether or Not To Proceedmentioning
confidence: 99%
“…In this respect, the situation resembles early-phase clinical trials in humans. Transferring ideas from this field (e.g., Shih et al 2004) into standardized animal screening might further help to improve the yield of the existing and future phenotyping resource(s) (e.g., Brown et al 2005).…”
Section: Discussionmentioning
confidence: 99%
“…As this is a feasibility study, formal power calculations are not appropriate, as the study is not designed to test for a difference between treatments. Recommendations for feasibility studies propose that the analysis dataset comprises a minimum of 30 participants for each arm in order to estimate parameters for future sample size calculations [32-34]. We anticipate that the combined total of non-compliance and loss to follow up will be no more than 35% (that is, 25% due to loss to follow up and 10% due to non-compliance) and therefore, aim to recruit 46 patients in each arm, to account for potential missing data.…”
Section: Methodsmentioning
confidence: 99%