Correction: Multiple Regression Methods Show Great Potential for Rare Variant Association Tests

ChangJiang Xu; Martin Ladouceur; Zari Dastani; J. Brent Richards; Antonio Ciampi; Celia M. T. Greenwood

doi:10.1371/annotation/df00a9fb-1465-4178-9e39-aa21f7e04c4c

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Correction

Correction: Multiple Regression Methods Show Great Potential for Rare Variant Association Tests

ChangJiang Xu,
Martin Ladouceur,
Zari Dastani,
J. Brent Richards,
Antonio Ciampi,
Celia M. T. Greenwood

Correction: Multiple Regression Methods Show Great Potential for Rare Variant Association Tests

ChangJiang Xu,
Martin Ladouceur,
Zari Dastani,
J. Brent Richards,
Antonio Ciampi,
Celia M. T. Greenwood

Published: March 4, 2013
https://doi.org/10.1371/annotation/df00a9fb-1465-4178-9e39-aa21f7e04c4c

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Citation: Xu C, Ladouceur M, Dastani Z, Richards JB, Ciampi A, Greenwood CMT (2013) Correction: Multiple Regression Methods Show Great Potential for Rare Variant Association Tests. PLoS ONE 8(3): 10.1371/annotation/df00a9fb-1465-4178-9e39-aa21f7e04c4c. https://doi.org/10.1371/annotation/df00a9fb-1465-4178-9e39-aa21f7e04c4c

Published: March 4, 2013

Copyright: © 2013 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.