Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 299-317 |
| Number of pages | 19 |
| Journal | Statistical Science |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Aug 1990 |
Bibliographical note
Copyright:Copyright 2016 Elsevier B.V., All rights reserved.
Keywords
- Bayesian inference
- Group sequential test
- Interim analyses
- Repeated confidence intervals
- Repeated P-values
- Repeated significance test
- Sequential design
- Stochastic curtailment
- Stopping rule
ASJC Scopus subject areas
- Statistics and Probability
- General Mathematics
- Statistics, Probability and Uncertainty