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In this paper, we showed that this conventional approach is anti-conservative and proposed a new statistical test based on restricted maximum likelihood estimator to achieve designed type I error rate.
Inference was based on restricted maximum likelihood.
Based on restricted maximum likelihood estimators.
A group cut point (GCP) was derived using a linear mixed model regression based on restricted maximum likelihood estimation.
Variance component (VC) approaches based on restricted maximum likelihood (REML) have been used as an attractive method for positioning of quantitative trait loci (QTL).
We chose the best-fitting parsimonious covariance structure using a series of likelihood ratio tests based on restricted maximum likelihood estimates.
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Vg was estimated based on the restricted maximum likelihood (REML) method from the mixed model: Response = general mean + block + genotype + error ; with the term genotype taken random.
We used a random effects meta-analysis to pool cold and hot effects across the five cities, respectively, based on the restricted maximum likelihood [ 31].
In order to check whether the selection of the variance estimator can affect the meta-analytic results, the analyses were repeated by using a variance estimator based on the restricted maximum likelihood (REML) method.
We used the estimators based on the restricted maximum likelihood (REML) method to construct the F statistics of the hypotheses since, in general, it yields less biased estimates of the variance components than those of maximum likelihood (ML) approach and avoids inflating type I error rates [ 12, 13].
The selection used tests based on the Restricted Maximum Likelihood (REML).
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