2010
DOI: 10.1016/j.jclinepi.2009.07.005
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Sequential design with boundaries approach in pediatric intervention research reduces sample size

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Cited by 16 publications
(15 citation statements)
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References 49 publications
(83 reference statements)
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“…Simulations have demonstrated that the expected sample size for sequential trials is smaller than the corresponding fixed sample size [7,44]. Challenges include analyzing multiple treatments, calculating study power [35], averting the risk of type I error [7], timing the first interim analysis, and planning the optimal number of interim analyses.…”
Section: Sequential Designsmentioning
confidence: 99%
“…Simulations have demonstrated that the expected sample size for sequential trials is smaller than the corresponding fixed sample size [7,44]. Challenges include analyzing multiple treatments, calculating study power [35], averting the risk of type I error [7], timing the first interim analysis, and planning the optimal number of interim analyses.…”
Section: Sequential Designsmentioning
confidence: 99%
“…This design may be suitable in trials where outcome results are available quickly in relation to the patient recruitment rate. Analyses from a systematic review of paediatric sequential trials 176 (24 were published between 1963 and 2005) indicated a median reduction in sample size of 52 subjects (range −22 to 229 subjects) or 35% (range −42% to 90%) for sequential trials when comparing with a classical fixed sample size approach. Only nine trials reported sufficient information about assumptions to allow calculation of a corresponding fixed sample size.…”
Section: Recruitmentmentioning
confidence: 99%
“…The unknown sample size at the start of sequential trials may be problematic for funders, although some trials pre specify a maximum number of participants. 176 Another strategy to address likely sample size problems is responsive-adaptive randomisation: a 'play the winner' approach that maximises allocation to the most effective treatment. Outcomes for previous participants affect subsequent treatment allocation probabilities.…”
Section: Recruitmentmentioning
confidence: 99%
“…In such cases, it is desirable to adjust the sample size according to the effect size for the ongoing trial thus reducing the risk of trial failure. Early stopping is pursued when the efficacy or futility of the experimental drug becomes obvious during the trial [16]. Finally, through responseadaptive randomization, allocation probability may change during the trial based on the responses of the previous patients and more patients are expected to be randomised to the group that is proving superiority.…”
Section: Adaptive Designmentioning
confidence: 99%