 |
 |
 |
 |
 |
 |
Most papers can be downloaded by clicking on the links below. To request a paper without a PDF version, please email bmuthen@ucla.edu and refer to the paper number.
77) Muthén, B., Khoo, S.T., Francis, D. & Kim Boscardin, C. (2003). Analysis of reading skills development from Kindergarten through first grade: An application of growth mixture modeling to sequential processes. Multilevel Modeling: Methodological Advances, Issues, and Applications (in press). S.R. Reise & N. Duan (Eds). Mahaw, NJ: Lawrence Erlbaum Associates, pp.71-89. [Available as PDF]
78) Muthén, B. & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55, 463-469. [Available as PDF]
82) Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In Collins, L.M. & Sayer, A. (Eds.), New Methods for the Analysis of Change (pp. 291-322). Washington, D.C.: APA. [Available as PDF]
85) Muthén, B. & Muthén, L. (2000). Integrating person-centered and variable-centered analysis: growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882-891. [Available as PDF]
86) Muthén, B. (2001). Latent variable mixture modeling. In G. A. Marcoulides & R. E. Schumacker (eds.), New Developments and Techniques in Structural Equation Modeling (pp. 1-33). Lawrence Erlbaum Associates. [Available as PDF]
87) Muthén, B., Brown, C.H., Masyn, K., Jo, B., Khoo, S.T., Yang, C.C., Wang, C.P., Kellam, S., Carlin, J., & Liao, J. (2002). General growth mixture modeling for randomized preventive interventions. Biostatistics, 3, 459-475. [Available as PDF]
89) Jo, B. & Muth?n, B. (2000). Intervention studies with noncompliance: Complier Average Causal Effect Estimation in Growth Mixture Modeling. Draft. To appear in N. Duan and S. Reise (Eds.), Multilevel Modeling: Methodological Advances, Issues, and Applications, Multivariate Applications Book Series, Lawrence Erlbaum Associates. [Available as PDF]
90) Jo, B. & Muthén, B. (2001). Modeling of intervention effects with noncompliance: A latent variable modeling approach for randomized trials. In G. A. Marcoulides & R.E. Schumacker (eds.), New Developments and Techniques in Structural Equation Modeling (pp. 57-87). Lawrence Erlbaum Associates. [Available as PDF]
92) Muthén, B. & Masyn, K. (2004). Discrete-time survival mixture analysis. Journal of Educational and Behavioral Statistics, 30(1), 27-58 . [Available as PDF]
93) Muthén, B. & Brown, C. H. (2001). Non-ignorable missing data in a general latent variable modeling framework.[Available as PDF]
94) Muthén, B. (2001). Two-part growth mixture modeling. [Available as PDF]
95) Muthén, B. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81-117.
[Available
as PDF]
97) Muthén, B. (2002). Statistical and substantive checking In growth mixture modeling. [Available as PDF]
98)
Muthén, B., Jo, B. & Brown, C. H. (2002). Assessment of treatment
effects using latent variable modeling: Comments on the New York school
choice study. [Available
as PDF]
99)
Muthen, B. (2004). Latent variable analysis: Growth mixture modeling and
related techniques for longitudinal data. In D. Kaplan (ed.), Handbook
of quantitative methodology for the social sciences. Newbury Park, CA:
Sage Publications, in press. [Available
as PDF]
100) Lubke, G.H. & Muthén, B. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10, 21-39.
101) Muthén, B. (2006). Should substance use disorders be considered as categorical or dimensional? Addiction, 101, 6-16. [Available as PDF]
102) Muthén, B. & Asparouhov, T. (2006). Item response mixture modeling: Application to tobacco dependence criteria. Addictive Behaviors, 31, 1050-1066. [Available as PDF]
103) Muthén, B., Asparouhov, T. & Rebollo, I. (2006). Advances in behavioral genetics modeling using Mplus: Applications of factor mixture modeling to twin data. Twin Research and Human Genetics, 9, 313-324. [Available as PDF]
104) Muthén, B. (2006). The potential of growth mixture modelling. Commentary. Infant and Child Development, 15, 000-000. [Available as PDF]
106) Kreuter, F. & Muthen. B (2008). Analyzing criminal trajectory profiles: Bridging multilevel and group-based approaches using growth mixture modeling. Journal of Quantitative Criminology, 24, 1-31. [Available as PDF]
107) Muthén, B. & Masyn, K. (2005). Discrete-time survival mixture analysis. Journal of Educational and Behavioral Statistics, 30, 27-58. [Available as PDF]
111) Nylund, K.L., Asparouhov, T., & Muthen, B. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling. A Monte Carlo simulation study. Structural Equation Modeling, 14, 535-569. [Available as PDF]
113) Lubke, G., Muthén, B., Moilanen, I., McGough, J., Loo, S., Swanson, J., Yang, M., Taanila, A., Hurtig, T., Jarvelin, M. & Smalley, S. (2007). Subtypes versus severity differences in the Attention-Deficit/Hyperactivity disorder in the northern Finnish birth cohort. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 1584-1593. [Available as PDF]
114) Lubke, G. & Muthén, B. (2007). Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling, 14(1), 26–47.[Available as PDF]
115) Kim, Y.K. & Muthén, B. (2007). Two-part factor mixture modeling: Application to an aggressive behavior measurement instrument. Submitted for publication. [Available as PDF]
122) Muthén, B., Brown, H., Leuchter, A. & Hunter A. (2008). General approaches to analysis of course: Applying growth mixture modeling to randomized trials of depression medication. Forthcoming in P.E. Shrout (ed.), Causality and Psychopathology: Finding the Determinants of Disorders and their Cures. Washington, DC: American Psychiatric Publishing. [Available as PDF]
123) Muthén, B. (2008). Latent variable hybrids: Overview of old and new models. In Hancock, G. R., & Samuelsen, K. M. (Eds.), Advances in latent variable mixture models, pp. 1-24. Charlotte, NC: Information Age Publishing, Inc. [Available as PDF]
124) Kreuter, F. & Muthen, B. (2008). Longitudinal modeling of population heterogeneity: Methodological challenges to the analysis of empirically derived criminal trajectory profiles. In Hancock, G. R., & Samuelsen, K. M. (Eds.), Advances in latent variable mixture models, pp. 53-75. Charlotte, NC: Information Age Publishing, Inc. [Available as PDF]
125) Boscardin, C., Muthén, B., Francis, D. & Baker, E. (2008). Early identification of reading difficulties using heterogeneous developmental trajectories. Journal of Educational Psychology, 100, 192-208. [Available as PDF]
126) Asparouhov, T. & Muthen, B. (2008). Multilevel mixture models. In Hancock, G. R., & Samuelsen, K. M. (Eds.), Advances in latent variable mixture models, pp. 27-51. Charlotte, NC: Information Age Publishing, Inc. [Available as PDF]
128) Muthén, B. & Asparouhov, T. (2009). Growth mixture modeling: Analysis with non-Gaussian random effects. In Fitzmaurice, G., Davidian, M., Verbeke, G. & Molenberghs, G. (eds.), Longitudinal Data Analysis, pp. 143-165. Boca Raton: Chapman & Hall/CRC Press. [Available as PDF]
129) Muthén, B. & Asparouhov, T. (2009). Multilevel regression mixture analysis. Journal of the Royal Statistical Society, Series A, 172, 639-657. [Available as PDF]
131) Muthén, B.& Brown, H. (2009). Estimating drug effects in the presence of placebo response: Causal inference using growth mixture modeling. Statistics in Medicine, 28, 3363-3385.
132) Henry, K. & Muthén, B. (2010). Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors. Structural Equation Modeling, 17, 193-215. [Available as PDF]
133) Hunter, A. M., Muthén, B.O., Cook, I.A. & Leuchter, A. F. (2010). Antidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorder. Journal of Psychiatric Research, 44, 90-98. [Available as PDF]
134) Muthén, B., Brown, C.H., Hunter, A., Cook, I.A. & Leuchter, A.F. (2011). General approaches to analysis of course: Applying growth mixture modeling to randomized trials of depression medication. In P.E. Shrout (ed.), Causality and Psychopathology: Finding the Determinants of Disorders and their Cures (pp. 159-178). New York: Oxford University Press. [Available as PDF]
135) Muthén, B. & Asparouhov, T. (2011). Beyond multilevel regression modeling: Multilevel analysis in a general latent variable framework. In J. Hox & J.K. Roberts (eds), Handbook of Advanced Multilevel Analysis, pp. 15-40. New York: Taylor and Francis. [Available as PDF]
136) Muthén, B., Asparouhov, T., Hunter, A. & Leuchter, A. (2011). Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial. Psychological Methods, 16, 17-33. [Available as PDF]
137) Leoutsakos, J.S., Muthén, B.O., Breitner, J.C.S. & Lyketsos, C.G. (2011). Effects of NSAID treatments on cognitive decline vary by phase of pre-clinical Alzheimer disease: Findings from the randomized controlled ADAPT trial. International Journal of Geriatric Psychiatry. In Press. [Available as PDF]