Data peeking: a quantitative and qualitative exploration of the use of interim analysis

Mandy Woelk & Esther Klinkenberg
Data peeking, quitting data collection early or adding more participants at the end, offers the advantage of saving time and money. However, performing an interim analysis without correction leads to a Type-I error inflation. Using alpha spending function could be used to solve this problem. In this paper, we simulated the effects of interim analysis with and without an alpha spending function on type-I error, power and expected sample size. We also offer a Bayesian...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.