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Bias and Conditioning in Sequential Medical Trials

Published online by Cambridge University Press:  01 January 2022

Cecilia Nardini  and
Jan Sprenger
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Abstract

Randomized controlled trials are currently the gold standard within evidence-based medicine. Usually they are monitored for early signs of effectiveness or harm. However, evidence from trials stopped early is often charged with bias toward implausibly large effects. To our mind, this skeptical attitude is unfounded and caused by the failure to perform appropriate conditioning in the statistical analysis of the evidence. We contend that conditional hypothesis tests give a superior appreciation of the obtained evidence and significantly improve the practice of sequential medical trials, while staying firmly rooted in frequentist methodology.

Type
General Philosophy of Science
Information
Philosophy of Science , Volume 80 , Issue 5 , December 2013 , pp. 1053 - 1064
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

†

The authors would like to thank the senior and junior members of the FOLSATEC PhD program, as well as David Teira and the PSA audience. Jan Sprenger would also like to thank the Netherlands Organization for Scientific Research (NWO) for supporting this research through Veni grant no. 016.104.079.

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