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JNCI Journal of the National Cancer Institute 2004 96(22):1722; doi:10.1093/jnci/djh326
© 2004 by Oxford University Press
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© 2004 Oxford University Press

CORRESPONDENCE

Re: Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies

Hans-Hermann Dubben

Correspondence to: Hans-Hermann Dubben, PhD, Institute of General Practice, University of Hamburg, Martinistrasse 52, 20246 Hamburg, Germany (e-mail: dubben{at}uke.uni-hamburg.de)

I read with great interest the very comprehensible commentary by Wacholder et al. (1) and share the authors' interpretation of statistical significance. However, I cannot duplicate their calculation leading to their figure 5, in which higher statistical power is associated with a higher false-positive report probability (FPRP). It is my understanding that higher statistical power results in a lower FPRP. I therefore assume that something is wrong in that figure.

REFERENCE

1 Wacholder S, Chanock S, Garcia-Closas M, El Ghormli L, Rothman N. Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst 2004;96:434–42.[Abstract/Free Full Text]


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Response to this Correspondence

RESPONSE: Re: Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies
Sholom Wacholder, Stephen Chanock, Montserrat Garcia-Closas, Hormuzd A. Katki, Laure El ghormli, and Nathaniel Rothman
J Natl Cancer Inst 2004 96: 1722-1723. [Extract] [Full Text] [PDF]




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