Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.

Mid-study design modifications are becoming increasingly accepted in confirmatory clinical trials, so long as appropriate methods are applied such that error rates are controlled. It is therefore unfortunate that the important case of time-to-event endpoints is not easily handled by the standard the...

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Main Authors: Dominic Magirr, Thomas Jaki, Franz Koenig, Martin Posch
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4749572?pdf=render
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author Dominic Magirr
Thomas Jaki
Franz Koenig
Martin Posch
author_facet Dominic Magirr
Thomas Jaki
Franz Koenig
Martin Posch
author_sort Dominic Magirr
collection DOAJ
description Mid-study design modifications are becoming increasingly accepted in confirmatory clinical trials, so long as appropriate methods are applied such that error rates are controlled. It is therefore unfortunate that the important case of time-to-event endpoints is not easily handled by the standard theory. We analyze current methods that allow design modifications to be based on the full interim data, i.e., not only the observed event times but also secondary endpoint and safety data from patients who are yet to have an event. We show that the final test statistic may ignore a substantial subset of the observed event times. An alternative test incorporating all event times is found, where a conservative assumption must be made in order to guarantee type I error control. We examine the power of this approach using the example of a clinical trial comparing two cancer therapies.
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spelling doaj.art-77e06436795a4bb6809faec62c017e7d2022-12-22T03:03:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01112e014646510.1371/journal.pone.0146465Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.Dominic MagirrThomas JakiFranz KoenigMartin PoschMid-study design modifications are becoming increasingly accepted in confirmatory clinical trials, so long as appropriate methods are applied such that error rates are controlled. It is therefore unfortunate that the important case of time-to-event endpoints is not easily handled by the standard theory. We analyze current methods that allow design modifications to be based on the full interim data, i.e., not only the observed event times but also secondary endpoint and safety data from patients who are yet to have an event. We show that the final test statistic may ignore a substantial subset of the observed event times. An alternative test incorporating all event times is found, where a conservative assumption must be made in order to guarantee type I error control. We examine the power of this approach using the example of a clinical trial comparing two cancer therapies.http://europepmc.org/articles/PMC4749572?pdf=render
spellingShingle Dominic Magirr
Thomas Jaki
Franz Koenig
Martin Posch
Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
PLoS ONE
title Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
title_full Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
title_fullStr Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
title_full_unstemmed Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
title_short Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials.
title_sort sample size reassessment and hypothesis testing in adaptive survival trials
url http://europepmc.org/articles/PMC4749572?pdf=render
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