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https://scholarbank.nus.edu.sg/handle/10635/104965
Title: | A score test for variance components in a semiparametric mixed-effects model under non-normality | Authors: | Sun, Y. Zhang, J.-T. |
Keywords: | Extended quasi-likelihood Laplace approximation Local linear smoothing Score test Semiparametric mixed-effects model Variance components |
Issue Date: | 2011 | Citation: | Sun, Y.,Zhang, J.-T. (2011). A score test for variance components in a semiparametric mixed-effects model under non-normality. Statistics and its Interface 4 (1) : 65-72. ScholarBank@NUS Repository. | Abstract: | In this paper, we propose a score test for variance components in a semiparametric mixed-effects model when the random-effects and measurement errors are not normally distributed. The asymptotic null distribution of the test statistic is shown to be a simple chi-squared distribution with the degrees of freedom being the number of linearly-independent variance components. The simulation results show that the proposed score test is robust against the nonnormality of the random-effects and the measurement errors and performs well in terms of both size and power. The score test is illustrated via an application to a real longitudinal data set collected in a clinical trial study. | Source Title: | Statistics and its Interface | URI: | http://scholarbank.nus.edu.sg/handle/10635/104965 | ISSN: | 19387989 |
Appears in Collections: | Staff Publications |
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