A Look at the Rule of Three

B. D. Jovanovic; P. S. Levy

doi:10.1080/00031305.1997.10473947

A Look at the Rule of Three

B. D. Jovanovic, P. S. Levy

Preventive Medicine

Research output: Contribution to journal › Article › peer-review

112 Scopus citations

Abstract

The Rule of Three states that 3/n is an upper 95% confidence bound for binomial probability p when in n independent trials no events occur. We discuss the derivation of this rule, its validity in small samples, and propose some alternatives. The material may serve well as a thought-provoking introduction to a clinical trials, statistical consulting, or a categorical data class, and is interesting on its own merit.

Original language	English (US)
Pages (from-to)	137-139
Number of pages	3
Journal	American Statistician
Volume	51
Issue number	2
DOIs	https://doi.org/10.1080/00031305.1997.10473947
State	Published - May 1997

Keywords

Binomial probability
Clinical research
Safety

ASJC Scopus subject areas

Statistics and Probability
Mathematics(all)
Statistics, Probability and Uncertainty

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10.1080/00031305.1997.10473947

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AB - The Rule of Three states that 3/n is an upper 95% confidence bound for binomial probability p when in n independent trials no events occur. We discuss the derivation of this rule, its validity in small samples, and propose some alternatives. The material may serve well as a thought-provoking introduction to a clinical trials, statistical consulting, or a categorical data class, and is interesting on its own merit.

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KW - Safety

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A Look at the Rule of Three

Abstract

Keywords

ASJC Scopus subject areas

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