Key points are not available for this paper at this time.
Most medical trials are monitored for early evidence of treatment differences or harmful side effects. In this paper we review and critique various statistical approaches that have been proposed for the design and analysis of sequential experiments in medical applications. We discuss group sequential tests, stochastic curtailment, repeated confidence intervals, and Bayesian procedures. The role that a statistical stopping rule should play in the final analysis is examined.
Jennison et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: