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The described mixed model will be fitted using maximum likelihood methods that are valid under the missing at random (MAR) assumption.[ 64] However, this assumption relates to the variables that are included in the model.
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Given a data on response and predictors, the model is fitted using maximum likelihood estimates (MLE) of the unknown regression coefficients.
Slope and aspect were calculated from the high-resolution DTM (Fig. 2) using the terrain function within the raster package of R. Models were fitted using maximum likelihood estimation.
Gamma cell lifetime distributions were fitted using maximum likelihood, to [PSI+] and [psi−] data sets separately and combined (Table 3).
A binary logistic regression model where true data points are assigned the value 1 and the generated reference data points have the value 0, was fitted using maximum likelihood estimation.
A von Bertalanffy growth curve was fitted using maximum likelihood estimation of the normal distribution (Figure 1), but we fixed to at −0.5 because of likely overestimation of mean length at age-0 due to gear bias.
All DEBtox models were fitted using maximum likelihood estimation in Matlab® version 7.0 (Release 14).
Models with pain and activity limitation were fitted using maximum likelihood estimations and unstructured covariance.
All models were fitted using maximum likelihood and accounted for the longitudinal correlation within participants by using an unstructured covariance matrix.
All candidate models were fitted using maximum likelihood estimation and compared using second-order Akaike information criterion (AICc) to identify the most parsimonious model.
The model is fitted using maximum likelihood methods to the time- and age-stratified vCJD deaths to the end of 2002 assuming that the data arise from a Poisson distribution.
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