Having developed a unified statistical framework for the monitoring of trials involving different kinds of endpoints, we apply it to the calculation of different types of power. We focus primarily on trials not designed to allow early stopping for benefit. For example, in a short-term feeding trial in people with mild hypertension, we do not feel ethically compelled to stop early for benefit even if the intervention is superior to the control. On the other hand, if it becomes clear that the new diet is not worthwhile, we may not want to continue the expensive feeding. Thus, stopping for futility may still be important.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
(2006). Power: Conditional, Unconditional, and Predictive. In: Statistical Monitoring of Clinical Trials. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-44970-8_3
Download citation
DOI: https://doi.org/10.1007/978-0-387-44970-8_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-30059-7
Online ISBN: 978-0-387-44970-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)