Access the full text.
Sign up today, get DeepDyve free for 14 days.
Guan Xing, Chang-Yun Lin, S. Wooding, Chao Xing (2012)
Blindly Using Wald's Test Can Miss Rare Disease‐Causal Variants in Case‐Control Association StudiesAnnals of Human Genetics, 76
(1948)
The transformation of Poisson, binomial
F. Anscombe (1948)
THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATABiometrika, 35
Kai Wang, J. Fingert (2012)
Statistical Tests for Detecting Rare Variants Using Variance‐Stabilising TransformationsAnnals of Human Genetics, 76
F. Mosteller, J. Tukey (1949)
The Uses and Usefulness of Binomial Probability PaperJournal of the American Statistical Association, 44
R. Team (2014)
R: A language and environment for statistical computing.MSOR connections, 1
M. Freeman, J. Tukey (1950)
Transformations Related to the Angular and the Square RootAnnals of Mathematical Statistics, 21
(1975)
Modification of the angular transformation
In a recent paper in this journal, the use of variance‐stabilising transformation techniques was proposed to overcome the problem of inadequacy in normality approximation when testing association for a low‐frequency variant in a case‐control study. It was shown that tests based on the variance‐stabilising transformations are more powerful than Fisher's exact test while controlling for type I error rate. Earlier in the journal, another study had shown that the likelihood ratio test (LRT) is superior to Fisher's exact test, Wald's test, and Pearson's χ2 test in testing association for low‐frequency variants. Thus, it is of interest to make a direct comparison between the LRT and the tests based on the variance‐stabilising transformations. In this commentary, we show that the LRT and the variance‐stabilising transformation‐based tests have comparable power greater than Fisher's exact test, Wald's test, and Pearson's χ2 test.
Annals of Human Genetics – Wiley
Published: Jan 1, 2013
Keywords: ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.