Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited?-Reference-Cited by-同舟云学术

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Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited?

Published:2009-06-14 Issue:5 Volume:39 Page:580-595
ISSN:0001-8244
Container-title:Behavior Genetics
language:en
Short-container-title:Behav Genet

Author:

Beasley T. Mark,Erickson Stephen,Allison David B.

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1007/s10519-009-9281-0.pdf

Reference98 articles.

1. Akritas MG (1990) The rank transform method on some two factor designs. J Am Stat Assoc 85:73–78. doi: 10.2307/2289527

2. Allison DB, Neale MC, Zannolli RZ, Schork NJ, Amos CI, Blangero J (1999) Testing the robustness of the likelihood ratio test in a variance-component quantitative trait loci (QTL) mapping procedure. Am J Hum Genet 65:531–544. doi: 10.1086/302487

3. Allison DB, Cui X, Page GP, Sabripour M (2006) Microarray data analysis: from disarray to consolidation and consensus. Nat Rev Genet 7(1):55–65. doi: 10.1038/nrg1749

4. Almasy L, Blangero J (1998) Multipoint quantitative trait linkage analysis in general pedigrees. Am J Hum Genet 62:1198–1211. doi: 10.1086/301844

5. Amos CI (1994) Robust variance-components approach for assessing genetic linkage in pedigrees. Am J Hum Genet 54:535–543

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