B Muthen

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi Bayesian structural equation modeling: a more flexible representation of substantive theory
    Bengt Muthen
    Muthén and Muthén, 3463 Stoner Avenue, Los Angeles, CA 90066, USA
    Psychol Methods 17:313-35. 2012
  2. ncbi Growth mixture modelling in families of the Framingham Heart Study
    Berit Kerner
    Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, 695 Charles E Young Drive South, Room 4357B, Box 951761, Los Angeles, California 90095 1761, USA
    BMC Proc 3:S114. 2009
  3. ncbi A multilevel linear mixed model of the association between candidate genes and weight and body mass index using the Framingham longitudinal family data
    Jian An Luan
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke s Hospital, Hills Road, Cambridge CB2 0QQ, UK
    BMC Proc 3:S115. 2009
  4. ncbi Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial
    Bengt Muthen
    Muthén and Muthén, Los Angeles, California 90066, USA
    Psychol Methods 16:17-33. 2011
  5. ncbi Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling
    Bengt Muthen
    University of California, Los Angeles, CA, USA
    Stat Med 28:3363-85. 2009
  6. ncbi Should substance use disorders be considered as categorical or dimensional?
    Bengt Muthen
    University of California, Los Angeles, CA, USA
    Addiction 101:6-16. 2006
  7. ncbi Advances in behavioral genetics modeling using Mplus: applications of factor mixture modeling to twin data
    Bengt Muthen
    Graduate School of Education and Information Studies, University of California, Los Angeles, 90095, USA
    Twin Res Hum Genet 9:313-24. 2006
  8. ncbi Item response mixture modeling: application to tobacco dependence criteria
    Bengt Muthen
    UCLA, United States
    Addict Behav 31:1050-66. 2006
  9. ncbi Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003)
    Bengt Muthen
    Social Research Methodology Division, Graduate School of Education and Information Studies, University of California, Los Angeles, 90095 1521, USA
    Psychol Methods 8:369-77; discussion 384-93. 2003
  10. ncbi Finite mixture modeling with mixture outcomes using the EM algorithm
    B Muthen
    Graduate School of Education and Information Studies and Department of Statistics, University of California, Los Angeles, California 90095 1521, USA
    Biometrics 55:463-9. 1999

Research Grants

  1. ADVANCED ANALYSIS OF THE DEVELOPMENT OF ALCOHOL PROBLEMS
    Bengt Muthen; Fiscal Year: 2005

Collaborators

Detail Information

Publications11

  1. ncbi Bayesian structural equation modeling: a more flexible representation of substantive theory
    Bengt Muthen
    Muthén and Muthén, 3463 Stoner Avenue, Los Angeles, CA 90066, USA
    Psychol Methods 17:313-35. 2012
    ....
  2. ncbi Growth mixture modelling in families of the Framingham Heart Study
    Berit Kerner
    Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, 695 Charles E Young Drive South, Room 4357B, Box 951761, Los Angeles, California 90095 1761, USA
    BMC Proc 3:S114. 2009
    ....
  3. ncbi A multilevel linear mixed model of the association between candidate genes and weight and body mass index using the Framingham longitudinal family data
    Jian An Luan
    Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke s Hospital, Hills Road, Cambridge CB2 0QQ, UK
    BMC Proc 3:S115. 2009
    ..Linkage disequilibrium (LD) between the two FTO SNPs was strong (D' = 0.997, r2 = 0.875) but their haplotype was not significantly associated with either weight or BMI. The two SNPs near MC4R were in weak LD (D' = 0.487, r2 = 0.166)...
  4. ncbi Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial
    Bengt Muthen
    Muthén and Muthén, Los Angeles, California 90066, USA
    Psychol Methods 16:17-33. 2011
    ..The analyses provide a new way to assess drug efficiency in the presence of dropout...
  5. ncbi Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling
    Bengt Muthen
    University of California, Los Angeles, CA, USA
    Stat Med 28:3363-85. 2009
    ..It is useful to augment such reporting with the GMM-estimated prevalences for the four classes of subjects and the Drug Only Responder drug effect estimate...
  6. ncbi Should substance use disorders be considered as categorical or dimensional?
    Bengt Muthen
    University of California, Los Angeles, CA, USA
    Addiction 101:6-16. 2006
    ..Conventional modeling using categorical or continuous latent variables in the form of latent class analysis and factor (IRT) analysis has limitations for the analysis of diagnostic criteria...
  7. ncbi Advances in behavioral genetics modeling using Mplus: applications of factor mixture modeling to twin data
    Bengt Muthen
    Graduate School of Education and Information Studies, University of California, Los Angeles, 90095, USA
    Twin Res Hum Genet 9:313-24. 2006
    ..The factor mixture approach appears to have great potential for the genetic analyses of heterogeneous populations. Generalizations for longitudinal data are also outlined...
  8. ncbi Item response mixture modeling: application to tobacco dependence criteria
    Bengt Muthen
    UCLA, United States
    Addict Behav 31:1050-66. 2006
    ..The hybrid models are typically seen to fit data better than conventional models of factor analysis (IRT) and latent class analysis. An illustration is given in the form of analysis of tobacco dependence in a general population survey...
  9. ncbi Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003)
    Bengt Muthen
    Social Research Methodology Division, Graduate School of Education and Information Studies, University of California, Los Angeles, 90095 1521, USA
    Psychol Methods 8:369-77; discussion 384-93. 2003
    ..Principles for substantive investigation of growth mixture model results are presented and illustrated by an example of high school dropout predicted by low mathematics achievement development in Grades 7-10...
  10. ncbi Finite mixture modeling with mixture outcomes using the EM algorithm
    B Muthen
    Graduate School of Education and Information Studies and Department of Statistics, University of California, Los Angeles, California 90095 1521, USA
    Biometrics 55:463-9. 1999
    ..The EM algorithm is used for estimation. As an illustration, a random-coefficient growth model for the prediction of alcohol dependence from three latent classes of heavy alcohol use trajectories among young adults is analyzed...
  11. ncbi Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes
    B Muthen
    Graduate School of Education and Information Studies, University of California Los Angeles 90095 1521, USA
    Alcohol Clin Exp Res 24:882-91. 2000
    ..In alcohol, drug, and mental health research the recognition of heterogeneity has led to theories of multiple developmental pathways...

Research Grants1

  1. ADVANCED ANALYSIS OF THE DEVELOPMENT OF ALCOHOL PROBLEMS
    Bengt Muthen; Fiscal Year: 2005
    ..The central part of the substantive training will occur through collaboration with a few key experts in alcohol and related fields. ..