Highly efficient hypothesis testing methods for regression-type tests with correlated observations and heterogeneous variance structure

Highly efficient hypothesis testing methods for regression-type tests with correlated observations and heterogeneous variance structure

Abstract Background For many practical hypothesis testing (H-T) applications, the data are correlated and/or with heterogeneous variance structure. The regression t-test for weighted linear mixed-effects regression (LMER) is a legitimate choice because it accounts for complex covariance structure; h...

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Bibliographic Details
Main Authors: Yun Zhang, Gautam Bandyopadhyay, David J. Topham, Ann R. Falsey, Xing Qiu
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Bioinformatics
Subjects:
Hypothesis testing
Matrix decomposition
Orthogonal transformation
RNA-seq
Rotated test
Online Access:http://link.springer.com/article/10.1186/s12859-019-2783-8

Internet

http://link.springer.com/article/10.1186/s12859-019-2783-8

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