๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

PRACTICAL p-VALUE ADJUSTMENT FOR OPTIMALLY SELECTED CUTPOINTS

โœ Scribed by SUSAN GALLOWAY HILSENBECK; GARY M. CLARK

Book ID
102650237
Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
660 KB
Volume
15
Category
Article
ISSN
0277-6715

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โœฆ Synopsis

This paper concerns a series of simulations undertaken to examine the effects of two data features -number of cutpoints and true marker prognostic effect size -on three methods of p-value adjustment (asymptotic, P,,,,; improved Bonferroni, P,,,; and empirical permutation, PcmJ. H , rejection rates for Pcmp and Pbon are almost indistinguishable from those for an independent validation sample (P,,,), while those of Pa,,, are somewhat conservative, especially when the number of cutpoints is small. Analysis of a new breast cancer prognostic marker, heat shock protein 70, illustrates the methods. These results underscore many of the problems associated with data-derived cutpoints in general, and the need for p-value adjustment.

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