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American Journal of Epidemiology Vol. 141, No. 8: 792
Copyright © 1995 by The Johns Hopkins University School of Hygiene and Public Health

correction

ERRATUM

ABSTRACT

Dr. M. J. Nicolich pointed out to the authors of the paper, "Outcome-oriented Cutpoints in Analysis of Quantitative Exposures" (1), some inconsistencies with regard to the calculation of corrected p values in the example data.

In figure 3 (p. 177), the p values of the Wald chi-square test in the logistic regression analysis (method described on p. 174) are displayed resulting in a minimum p value of pmin = 0.009. The correction formula (pp. 177–178) is applied to the minimum p value of Pearson's chi-square test in a 2 – 2 table that is in the example data used pmin = 0.0017. This gives a corrected p value of pcor = 0.023 as stated. If pmin = 0.009 would have been corrected, the correction formula leads to pcor = 0.088. In the calculation on p. 179, we have given a rounded value of the minimum p value of the NOEL statistic, pmin = 0.001. If this is corrected according to the correction formula on p. 179, one obtains pcor = 0.0027 and not pcor = 0.0036 as stated.

The authors apologize for these inconsistencies in the article as initially published that might lead to problems for readers who want to repeat the calculations in the example data used.


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