Repeated measures regression mixture models
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J. Vermunt | Daniel J. Taylor | T. Jaki | D. Feaster | M. V. Van Horn | A. Bush | K. Lichstein | Minjung Kim | B. W. Riedel | M. Lee Van Horn | Daniel J. Taylor | Andrew J. Bush
[1] T. Jaki,et al. The Effects of Sample Size on the Estimation of Regression Mixture Models , 2018, Educational and psychological measurement.
[2] Jeffrey R. Harring,et al. A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures Data , 2016, Psychometrika.
[3] F. Ascione,et al. Children exposed to intimate partner violence: Identifying differential effects of family environment on children's trauma and psychopathology symptoms through regression mixture models. , 2016, Child abuse & neglect.
[4] J. Vermunt,et al. Modeling Predictors of Latent Classes in Regression Mixture Models , 2016, Structural equation modeling : a multidisciplinary journal.
[5] A. Bryan,et al. Heterogeneity in the Relationship of Substance Use to Risky Sexual Behavior Among Justice-Involved Youth: A Regression Mixture Modeling Approach , 2016, AIDS and Behavior.
[6] M Lee Van Horn,et al. Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results? , 2016, Multivariate behavioral research.
[7] Y. Rosseel. Latent Variable Analysis , 2015 .
[8] Minjung Kim,et al. Evaluating Differential Effects Using Regression Interactions and Regression Mixture Models , 2015, Educational and psychological measurement.
[9] Minjung Kim,et al. Impact of an equality constraint on the class-specific residual variances in regression mixtures: A Monte Carlo simulation study , 2015, Behavior Research Methods.
[10] Andrea Caumo,et al. Chronotype influences activity circadian rhythm and sleep: Differences in sleep quality between weekdays and weekend , 2015, Chronobiology international.
[11] Stephanie T. Lanza,et al. Population heterogeneity in the salience of multiple risk factors for adolescent delinquency. , 2014, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.
[12] P. Niemi,et al. Maternal teaching of reading and children's reading skills in Grade 1: Patterns and predictors of positive and negative associations , 2013 .
[13] Katherine E. Masyn,et al. Using regression mixture models with non-normal data: examining an ordered polytomous approach , 2013, Journal of statistical computation and simulation.
[14] Eunju Lee. Differential Susceptibility to the Effects of Child Temperament on Maternal Warmth and Responsiveness , 2013, The Journal of genetic psychology.
[15] Joseph H. Pleck,et al. Using Mixture Regression to Identify Varying Effects: A Demonstration With Paternal Incarceration , 2012 .
[16] Katherine E. Masyn,et al. Not Quite Normal: Consequences of Violating the Assumption of Normality in Regression Mixture Models , 2012, Structural equation modeling : a multidisciplinary journal.
[17] Stephanie T. Lanza,et al. Differential Effects for Sexual Risk Behavior: An Application of Finite Mixture Regression. , 2011, The open family studies journal.
[18] Ernst Wit,et al. Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models , 2010, Stat. Comput..
[19] B. Muthén,et al. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .
[20] Theodore A. Walls,et al. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (2nd ed.) , 2007 .
[21] Emily K. Snell,et al. Sleep timing and quantity in ecological and family context: a nationally representative time-diary study. , 2007, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.
[22] Daniel J. Taylor,et al. Comorbidity of chronic insomnia with medical problems. , 2007, Sleep.
[23] Kui Wang,et al. A Mixture model with random-effects components for clustering correlated gene-expression profiles , 2006, Bioinform..
[24] Matthias Kliegel,et al. Predictors of cognitive complaints in older adults: a mixture regression approach , 2005, European journal of ageing.
[25] B. Muthén,et al. Investigating population heterogeneity with factor mixture models. , 2005, Psychological methods.
[26] Bo Hedblad,et al. Incidence of diabetes in middle-aged men is related to sleep disturbances. , 2004, Diabetes care.
[27] Daniel J. Taylor,et al. Epidemiology of Sleep: Age, Gender, and Ethnicity , 2004 .
[28] Daniel J Bauer,et al. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. , 2003, Psychological methods.
[29] Andy H. Lee,et al. Finite mixture regression model with random effects: application to neonatal hospital length of stay , 2003, Comput. Stat. Data Anal..
[30] Paul A Pilkonis,et al. Symptom reports in severe chronic insomnia. , 2002, Sleep.
[31] D. Hedeker,et al. A RANDOM-EFFECTS MIXTURE MODEL FOR CLASSIFYING TREATMENT RESPONSE IN LONGITUDINAL CLINICAL TRIALS , 2001, Journal of biopharmaceutical statistics.
[32] G. McLachlan,et al. Finite Mixture Models , 2000, Wiley Series in Probability and Statistics.
[33] B. Muthén,et al. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. , 2000, Alcoholism, clinical and experimental research.
[34] Terry E. Duncan,et al. An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition , 1999 .
[35] Anthony S. Bryk,et al. Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .
[36] S. Sclove. Application of model-selection criteria to some problems in multivariate analysis , 1987 .
[37] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[38] P. Niemi,et al. The effectiveness of increased support in reading and its relationship to teachers' affect and children's motivation , 2016 .
[39] Thorsten Gerber,et al. Applied Longitudinal Data Analysis Modeling Change And Event Occurrence , 2016 .
[40] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[41] Y. J. Wong,et al. A latent class regression analysis of men's conformity to masculine norms and psychological distress. , 2012, Journal of counseling psychology.
[42] Daniel J. Taylor,et al. Association between report of insomnia and daytime functioning. , 2010, Sleep medicine.
[43] Tony Jung,et al. An introduction to latent class growth analysis and growth mixture modeling. , 2008 .
[44] H. Colten,et al. Sleep Disorders and Sleep Deprivation , 2006 .
[45] H. Colten,et al. Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem , 2006 .
[46] Bengt Muthén,et al. Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data , 2004 .
[47] David Kaplan,et al. The Sage handbook of quantitative methodology for the social sciences , 2004 .