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Models 2 through 4 are full models using maximum likelihood estimations (MLE) with unstructured covariance structure.
Convulsion was induced in different animal models using maximum electric shock test [42, 43].
We fitted the models using maximum likelihood.
We used Mplus 6.1 (Muthén and Muthén 2007) to fit the models using maximum likelihood (ML) estimation.
To achieve a more reliable P value, we fitted the models using maximum likelihood (rather than restricted maximum likelihood, Bolker et al. 2009).
Fourthly, to investigate the effect of the intervention on the secondary outcomes, we performed linear mixed models using maximum likelihood estimation.
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For this purpose, a systematic methodology for property modeling and uncertainty analysis of GC models and CI models using maximum-likelihood estimation theory is developed.
Using FI as the critical decoding variable clearly diverges from models using maximum-likelihood and Bayesian inference methodologies to match perceptual decisions.
This chapter also illustrates model simulation using maximum selector model.
Haplo.glm applies a haplotype-trait association test based on a general linear model framework using maximum likelihood estimates for haplotype effects, allowing for ambiguity of haplotype phase [ 33].
The models use Maximum Penalized Likelihood Estimation [11, 12], which is a variational approach.
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