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使用限制最大似然法对线性混合效应模型中方差分量进行似然比检验。

Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood.

作者信息

Morrell C H

机构信息

Mathematical Sciences Department, Loyola College, Maryland 21210-2699, USA.

出版信息

Biometrics. 1998 Dec;54(4):1560-8.

PMID:9883552
Abstract

This paper reports the results of an extensive Monte Carlo study of the distribution of the likelihood ratio test statistic using the value of the restricted likelihood for testing random components in the linear mixed-effects model when the number of fixed components remains constant. The distribution of this test statistic is considered when one additional random component is added. The distribution of the likelihood ratio test statistic computed using restricted maximum likelihood is compared to the likelihood ratio test statistic computed from the usual maximum likelihood. The rejection proportion is computed under the null hypothesis using a mixture of chi-square distributions. The restricted likelihood ratio statistic has a reasonable agreement with the maximum likelihood test statistic. For the parameter combinations considered, the rejection proportions are, in most cases, less than the nominal 5% level for both test statistics, though, on average, the rejection proportions for REML are closer to the nominal level than for ML.

摘要

本文报告了一项广泛的蒙特卡罗研究结果,该研究针对线性混合效应模型中在固定成分数量保持不变时,使用受限似然值检验随机成分的似然比检验统计量的分布情况。当添加一个额外的随机成分时,考虑该检验统计量的分布。将使用受限最大似然计算的似然比检验统计量的分布与从通常的最大似然计算的似然比检验统计量进行比较。在原假设下,使用卡方分布的混合来计算拒绝比例。受限似然比统计量与最大似然检验统计量有合理的一致性。对于所考虑的参数组合,在大多数情况下,两种检验统计量的拒绝比例均小于名义5%水平,不过,平均而言,REML的拒绝比例比ML的更接近名义水平。

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