Theoretical Medicine and Bioethics 34 (4):259-274 (2013)

Abstract
Monitoring ongoing clinical trials for early signs of effectiveness is an option for improving cost-effectiveness of trials that is becoming increasingly common. Alongside the obvious advantages made possible by monitoring, however, there are some downsides. In particular, there is growing concern in the medical community that trials stopped early for benefit tend to overestimate treatment effect. In this paper, I examine this problem from the point of view of statistical methodology, starting from the observation that the overestimation is caused by the statistical method adopted. Consequently, I argue that some modifications can and should be made to the present statistical framework in order not to miss the advantages the possibility of monitoring can grant
Keywords Clinical trials  Sequential analysis  Monitoring  Significance test  p-value  Conditional inference
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DOI 10.1007/s11017-013-9264-2
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References found in this work BETA

Principles of Inference and Their Consequences.Deborah G. Mayo & Michael Kruse - 2001 - In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. pp. 381--403.
Evidence and Experimental Design in Sequential Trials.Jan Sprenger - 2009 - Philosophy of Science 76 (5):637-649.
Bias and Conditioning in Sequential Medical Trials.Cecilia Nardini & Jan Sprenger - 2013 - Philosophy of Science 80 (5):1053-1064.

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Bias and Conditioning in Sequential Medical Trials.Cecilia Nardini & Jan Sprenger - 2013 - Philosophy of Science 80 (5):1053-1064.

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