2020
DOI: 10.1186/s13063-020-04526-5
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Overrunning in clinical trials: some thoughts from a methodological review

Abstract: Background: In sequential and adaptive trials, the delay that happens after the trial is stopped, by a predetermined stopping criterion, takes the name of overrunning. Overrunning consists of extra data, collected by investigators while awaiting results of the interim analysis (IA). The inclusion of such extra data in the analyses is scientifically appropriate and follows regulatory advice. Nevertheless, its effect from a broader perspective is unclear. Methods: This article aims at clarifying the overall impa… Show more

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Cited by 4 publications
(5 citation statements)
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“…Decisions about whether the simulated group-sequential trial would have stopped, either for efficacy or futility, are made by comparing the estimated test statistics at each interim analysis to the stopping boundaries for the four scenarios (a) to (d). As a comparison, for trials that are stopped, at the interim analysis data on all those study participants recruited up to that point were used to estimate model parameters in an overrunning analysis [ 43 , 44 ]; this analysis comprised all the data (complete follow-up) that would eventually have accumulated on those participants already recruited. This process of data collection and decision making is continued for subsequent interim analyses or until data accumulation is complete.…”
Section: Methodsmentioning
confidence: 99%
“…Decisions about whether the simulated group-sequential trial would have stopped, either for efficacy or futility, are made by comparing the estimated test statistics at each interim analysis to the stopping boundaries for the four scenarios (a) to (d). As a comparison, for trials that are stopped, at the interim analysis data on all those study participants recruited up to that point were used to estimate model parameters in an overrunning analysis [ 43 , 44 ]; this analysis comprised all the data (complete follow-up) that would eventually have accumulated on those participants already recruited. This process of data collection and decision making is continued for subsequent interim analyses or until data accumulation is complete.…”
Section: Methodsmentioning
confidence: 99%
“…The second method is not only statistically insensible due to missing out potential for stronger evidence, but could also be related to ethical and regulatory issues since subjects have been treated but their data is not used afterwards whereas regulatory guidelines from the EMA demand the use of all patient data 12 . Furthermore, Baldi et al 13 demonstrated that additional incorporation of pipeline data can seriously impact the trial conclusion. In this paper, we will present methods making use of both the information I1$$ {I}_1 $$ as well as the pipeline data in anticipation.…”
Section: The Test Problem and Delayed Response Modelmentioning
confidence: 99%
“…Also, at each interim analysis data on all those study participants recruited up to that point were used to estimated model parameters for the over-running analysis. 80,142 This analysis comprised all the data that would eventually have accumulated on those participants already recruited and is the definitive analysis that would have been reported, had the trial stopped recruiting at the interim analysis. In the over-running analysis, boundaries were recalculated based on the observed information at the final analysis and used to draw interference on the observed treatments effects.…”
Section: Information Monitoringmentioning
confidence: 99%