The regression t-test for weighted linear mixed-effects regression (LMER) is a legitimate choice because it accounts for complex covariance structure however, high computational costs and occasional convergence issues make it impractical for analyzing high-throughput data. For many practical hypothesis testing (H-T) applications, the data are correlated and/or with heterogeneous variance structure.
