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The precision-weighted meta-regression models incorporated random effects by using a restricted maximum likelihood method to estimate the among-study variance (20 ).
Nonlinear trends of fracture risk were analyzed by quintiles of the exposure and by using a restricted cubic spline Cox regression model.
The across and within-assay repeatability was tested by using a restricted maximum likelihood (REML) mixed-model with individual identity as a random factor.
We also performed the linear relation analysis between the genotype scores (as continuous variables) and risk of type 2 diabetes by using a restricted cubic spline regression model (29).
First, the test items were developed by using a restricted set of vocabulary and grammar structures (see the "Methods" section), which limited the sentence complexity and vocabulary width of the test prompts (i.e., dialogs).
In this study, we focused on a maternal signal, which is not directly controlled by the maternal SCN, by using a restricted feeding (RF) schedule to examine the possibility of feeding-related factors being a synchronizer for the fetal SCN.
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As with the screen in the complete sequence database TrEMBL we initially did not limit the BLAST output by using a restricting threshold.
The cold spot temperature difference is restricted by using a higher fraction of inert particles at the inlet of the reactor and using a lower fraction of inert particles near the outlet of the reactor.
We tested for genetic variation in plant traits in separate analyses for each rhizobium strain treatment by using a mixed-model ANOVA with restricted maximum likelihood (PROC MIXED, SAS v.9.2).
Another work of interest was proposed by Xu et al. [21], which uses a restrict set of supervised data classified with a SVM classifier, using non-ranked data to improve the learning.
Second, by using a feature selection procedure, we restrict our regression models to a small number of parameters while maintaining a high prediction accuracy.
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