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The B-Value: A Tool for Monitoring Data
K. K. Gordon Lan and Janet Wittes
Vol. 44, No. 2 (Jun., 1988), pp. 579-585
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2531870
Page Count: 7
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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.
Biometrics © 1988 International Biometric Society