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The B-Value: A Tool for Monitoring Data

Lan, K. K. Gordon, Wittes, Janet·1988·Biometrics

Abstract

This paper considers the problem of monitoring slowly accruing data from a nonsequentially designed experiment. We describe the use of the B-value, which is a transformed Z-value, for the calculation of conditional power. In data monitoring, interim Z-values do not allow simple projections to the end of the study. Moreover, because of their popular association with P-values, Z-values are often misinterpreted. If observed trends are viewed as the realization of a Brownian motion process, the B-value and its decomposition allow simple extrapolations to the end of the study under a variety of hypotheses. Applications are presented to one- and two-sample Z-tests, the two-sample Wilcoxon rank sum test, and the log-rank test.

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Metadata

Authors
Lan, K. K. G., & Wittes, J.
Venue
Biometrics
Publisher
JSTOR
Published
1988-06
Volume
44
Issue
2
Pages
579
ISSN
0006-341X (ISSN-L)
OpenAlex
W2031991866
Cited by
303
References
0
FWCI
3.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The B-Value: A Tool for Monitoring Data. https://app.cochat.ai/papers/10.2307/2531870
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Lan, K. K. G., & Wittes, J. (1988). The B-Value: A Tool for Monitoring Data. Biometrics. https://doi.org/10.2307/2531870

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