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Interim Analyses: The Repeated Confidence Interval Approach
Abstract
SUMMARY: Most medical trials are monitored for early evidence of treatment differences or harmful side-effects and many sequential methods have been proposed for this. Similarly, data collected in a prospective epidemiological study are likely to be reviewed periodically in the course of the study. The repeated confidence interval approach, which combines aspects of sequential estimation and testing, allows a full exploration of the data at each interim analysis and does not depend on a rigidly enforced statistical stopping rule. In this paper we present the general principles underlying the construction of repeated confidence intervals and describe how they can be used in reaching a decision to terminate a study early. We discuss design considerations, which depend on the form of early stopping anticipated, and explain how the basic method can be adapted to cope with the problems of unpredictable group sizes or, more generally, unequal increments in information between analyses. Extensions of the method to handle survival data, categorical data, normal responses with unknown variance and multivariate normal observations are also presented.
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Cites
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Asymptotically Efficient Rank Invariant Test Procedures
Peto, R., & Peto, J. (1972) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344317 · Cited by 3,393
Discrete sequential boundaries for clinical trials
GORDON LAN, K. K., & DEMETS, D. L. (1983) · Biometrika · doi:10.1093/biomet/70.3.659 · Cited by 2,310
Group sequential methods in the design and analysis of clinical trials
POCOCK, S. J. (1977) · Biometrika · doi:10.1093/biomet/64.2.191 · Cited by 1,831
A Confidence Interval for the Median Survival Time
Brookmeyer, R., & Crowley, J. (1982) · Biometrics · doi:10.2307/2530286 · Cited by 914
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Giantonio, B. J., Catalano, P. J., Meropol, N. J., O'Dwyer, P. J., Mitchell, E. P., Alberts, S. R., Schwartz, M. A., & Benson, A. B. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.6305 · Cited by 2,279
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Pallmann, P., Bedding, A. W., Choodari-Oskooei, B., Dimairo, M., Flight, L., Hampson, L. V., Holmes, J., Mander, A. P., Odondi, L., Sydes, M. R., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1017-7 · Cited by 829
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Metadata
- Authors
- Jennison, C., & Turnbull, B. W.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1989-07-01
- Volume
- 51
- Issue
- 3
- Pages
- 305-334
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W13906753
- Cited by
- 244
- References
- 5
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jennison, C., & Turnbull, B. W. (1989). Interim Analyses: The Repeated Confidence Interval Approach. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.2517-6161.1989.tb01433.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.