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Multivariate Behavioral Research|January 23, 2016
Distinguishing Between Latent Classes and Continuous Factors: Resolution by Maximum Likelihood?Gitta Lubke, Michael C NealeTwin Research and Human Genetics : the Official Journal of the International Society for Twin Studies|December 16, 2005
Problems with using sum scores for estimating variance components: contamination and measurement noninvarianceMichael C Neale, Gitta Lubke, Steven H Aggen, et al.Multivariate Behavioral Research|January 16, 2016
Abstract: A Comparison of the Factor Mixture Model and Taxometric ProceduresStephen Tueller, Gitta LubkeBehavior Genetics|December 7, 2013
Multivariate genetic analyses in heterogeneous populationsGitta Lubke, Daniel McArtorStructural Equation Modeling : a Multidisciplinary Journal|June 29, 2010
Evaluation of structural equation mixture models Parameter estimates and correct class assignmentStephen Tueller, Gitta LubkeStructural Equation Modeling : a Multidisciplinary Journal|March 21, 2014
Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling ApproachesGitta Lubke, Stephen TuellerMultivariate Behavioral Research|February 19, 2010
Distinguishing between latent classes and continuous factors with categorical outcomes: Class invariance of parameters of factor mixture modelsGitta Lubke, Michael NealeStatistical Applications in Genetics and Molecular Biology|June 2, 2016
The use of vector bootstrapping to improve variable selection precision in Lasso modelsCharles Laurin, Dorret Boomsma, Gitta LubkePsychological Methods|January 10, 2020
Deductive data miningMaxwell Hong, Ross Jacobucci, Gitta LubkeMultivariate Behavioral Research|May 3, 2014
Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing DataZhenqiu Laura Lu, Zhiyong Zhang, Gitta LubkePageof 37