Statistical Science

Statistical Approaches to Interim Monitoring of Medical Trials: A Review and Commentary

Christopher Jennison and Bruce W. Turnbull

Full-text: Open access

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.

Article information

Source
Statist. Sci., Volume 5, Number 3 (1990), 299-317.

Dates
First available in Project Euclid: 19 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1177012099

Digital Object Identifier
doi:10.1214/ss/1177012099

Mathematical Reviews number (MathSciNet)
MR1080954

Zentralblatt MATH identifier
0955.62640

JSTOR
links.jstor.org

Keywords
Interim analyses group sequential test repeated significance test sequential design stopping rule Bayesian inference stochastic curtailment repeated confidence intervals repeated $P$-values

Citation

Jennison, Christopher; Turnbull, Bruce W. Statistical Approaches to Interim Monitoring of Medical Trials: A Review and Commentary. Statist. Sci. 5 (1990), no. 3, 299--317. doi:10.1214/ss/1177012099. https://projecteuclid.org/euclid.ss/1177012099


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