2006
DOI: 10.1002/bimj.200510238
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Sample Size Recalculation in Internal Pilot Study Designs: A Review

Abstract: The adequacy of sample size is important to clinical trials. In the planning phase of a trial, however, the investigators are often quite uncertain about the sizes of parameters which are needed for sample size calculations. A solution to this problem is mid-course recalculation of the sample size during the ongoing trial. In internal pilot study designs, nuisance parameters are estimated on the basis of interim data and the sample size is adjusted accordingly. This review attempts to give an overview on the a… Show more

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Cited by 172 publications
(151 citation statements)
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“…Sample size reviews are used when the variance is unknown at the start of the study. 18 An SD of 17 mm Hg was observed for systolic 24-hour ABP after enrollment of 30 patients and, based on this, a 10 mm Hg difference could be detected with 46 patients at 90% power and 5% significance. Assuming a dropout rate of 10% during follow-up, as observed within the Rheos trial, the study aimed to include at least 51 patients.…”
Section: Patients Bat and Study Protocolmentioning
confidence: 99%
“…Sample size reviews are used when the variance is unknown at the start of the study. 18 An SD of 17 mm Hg was observed for systolic 24-hour ABP after enrollment of 30 patients and, based on this, a 10 mm Hg difference could be detected with 46 patients at 90% power and 5% significance. Assuming a dropout rate of 10% during follow-up, as observed within the Rheos trial, the study aimed to include at least 51 patients.…”
Section: Patients Bat and Study Protocolmentioning
confidence: 99%
“…Stratification of trial results based on severity of illness at baseline (46,47). Adaptive trial designs (e.g., using biomarkers to stratify patients into more homogeneous subgroups [41], event-driven adaptive trials [36], or starting trials with several arms and then adjusting sample sizes [48] or narrowing arms based on observed interim safety and efficacy data [49]). Participant accrual and retention RCTs are sufficiently powered but patient attrition leads to appreciable postrandomization losses so that the intention-to-treat analyses are highly conservative.…”
Section: Acknowledgmentmentioning
confidence: 99%
“…Kieser and Friede (2000) and Denne and Jennison (2000) deal with the special problem of sample size readjustment with respect to an interim variance estimate for the t-test, when no information on interim treatment differences is used. We refer to the recent reviews of sample size re-estimation methods based on mid-course estimates of nuisance parameters by Proschan (2005) and by Friede and Kieser (2006) in the present volume. Bauer and Kieser (1999) have derived a combination test for multi-armed trials with treatment selection on the first stage and subsequent efficacy testing of the selected treatment arm incorporating the information obtained from the first stage.…”
Section: Discussionmentioning
confidence: 99%