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The bivariate model given by (2-4) can be fitted using generalized linear mixed model procedures in standard statistical packages, such as the SAS procedure NLMIXED, STATA gllamm or the R/S-Plus program nlme.
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RSF models often are fitted using generalized linear models (GLMs) although a variety of statistical models might be used.
Further, volume equation was fitted using generalized method of moments to obtain efficient parameter estimates under heteroscedastic conditions even without estimating the heteroscedastic error variance.
All the logistic regressions were fitted using generalized estimating equations (GEE).
All the logistic regressions were fitted using generalized estimating equations (GEE) to take into account the dependence of observations due to the clustering effect by hospital.
First-order Markov models were used to parameterize intrasubject longitudinal correlations and were fitted using generalized estimating equations (20); higher order models were deemed unnecessary based on Wald tests.
In this second step the GLM was fitted using generalized least-squares in order to correct for temporal correlation of the noise [Burock and Dale, 2000; Wicker and Fonlupt, 2003].
The smoothing spline function is fitted using generalized cross-validation to estimate the smoothing penalty, λ, and 10 knots with the cubic spline basis as an approximation to a true cubic smoothing spline (Wood, 2006; 2010).
Two-level multilevel logistic regression models were fitted using generalized linear and latent mixed models (gllamm) [ 58], to account for the hierarchical nature of DHS data, and to examine the association between each traumatic physical consequence, any IPV, and other predictor variables.
The second stage model was fit using generalized linear model (GLM) methods.
The model was fit using generalized estimating equations with an exchangeable working correlation matrix to account for data collected longitudinally at each hospital.
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