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PubMed · 6394064

HLA and disease: relative-risk regression methods and multiple testing considerations.

Abstract

This paper discusses certain statistical issues arising in an analysis to relate HLA-B antigens to the incidence of graft-versus-host disease in a clinical study. The Cox regression method is used to develop a global test of the hypothesis of no association and to produce estimated relative-risk factors corresponding to the presence of each particular allele. Multiple-testing considerations are central to any attempt to identify pairs of alleles having significantly different relative-risk factors. A number of simultaneous-testing approaches are considered including cumulative P-value plotting and a direct simulation of the null distribution of the maximum pairwise ratio.

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BibTeXRIS

R L Prentice, R Storb, K S Brown, M W Mason. 1984. HLA and disease: relative-risk regression methods and multiple testing considerations.. https://pubmed.ncbi.nlm.nih.gov/6394064/

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