Adaptive increase in sample size when interim results are promising: A practical guide with examples

By Cyrus R. Mehta, Stuart J. Pocock. Statistics in Medicine, 2011

348 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/280f03095eea562b68c29eb2ef708cb76ec1d4ec

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In Statistics and Probability

1. James M. S. Wason
2. Sofia S. Villar
3. C. Weir

Citations in the corpus

• Adaptive designs in clinical trials: why use them, and how to run and report them (2018, methodology): “As an example, if unblinded data (with knowledge or use of treatment allocation such that the interim treatment effect can be inferred) are used to adjust the sample size at the interim, then the inflation to the planned type I error can be substantial and needs to be accounted for [16, 34, 35, 88].”