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The potential variables from univariate analyses that were significant at a level of 0.05 were entered into multivariate models, and the corrected quasi-likelihood independence model criterion was used to assist with multivariate model fitting (Pan 2001).
Table 3 presents the multivariate model fitting results.
Multivariate model fitting indicated that conduct problems in childhood and early adolescence made a small but significant contribution to the risk for marijuana use 8 years later.
However, the effect was weak when expressed in terms of the relative contribution of model features during multivariate model fitting (Table 3).
For example, Spiker's and Silverman's examined clustering according to the Autism Diagnostic Interview (ADI-R), whilst Constantino's [ 13] examined clustering on the Social Reciprocity Scale (SRS) and Ronald's [ 8] examined multivariate model fitting according to Childhood Asperger Syndrome Test (CAST).
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In particular, a test can be conducted to test the nullity of the coefficient β∗ of the omics score in a multivariate model fitted on the validation set.
Nor is determination of causal variables necessary, as is the case when selecting predictor variables to include in a multivariate model fitted using OLSR.
For the multivariate regression, the phylogenetic covariance matrix was estimated via the APE package [ 87] and the multivariate model fit with NTSYS-PC [ 89].
Finally, we used multivariate genetic model fitting to investigate the genetic and environmental etiology of the covariation between learning abilities.
During multivariate logistic regression model fitting, significant independent variables associated with seeking pre-travel health advice differed for Australian travelers, other Western travelers and Asian travelers and separate models were developed.
This multivariate normal model fitted the data adequately.
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