Bayesian Analysis Using Mplus
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[1] Muthén Bengt,et al. Growth Mixture Modeling , 2008, Encyclopedia of Autism Spectrum Disorders.
[2] Richard J. Patz,et al. A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models , 1999 .
[3] B. Muthén,et al. Exploratory Structural Equation Modeling , 2009 .
[4] K. Holzinger,et al. A study in factor analysis : the stability of a bi-factor solution , 1939 .
[5] Walter R. Gilks,et al. MCMC in image analysis , 1995 .
[6] M. G. Pittau,et al. A weakly informative default prior distribution for logistic and other regression models , 2008, 0901.4011.
[7] Sik-Yum Lee. Structural Equation Modeling: A Bayesian Approach , 2007 .
[8] Susan J. Curry,et al. Extended Generalized Linear Latent and Mixed Model , 2008 .
[9] R. Scheines,et al. Bayesian estimation and testing of structural equation models , 1999 .
[10] B. Muthén,et al. A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm , 1998 .
[11] Jiajuan Liang,et al. Two-level Mean and Covariance Structures: Maximum Likelihood via an EM Algorithm , 2011 .
[12] Joseph L Schafer,et al. A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data , 2001 .
[13] B. Muthén,et al. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .
[14] Juni Palmgren,et al. A random change point model for assessing variability in repeated measures of cognitive function , 2008, Statistics in medicine.
[15] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[16] R. Peto,et al. Beta blockade during and after myocardial infarction: an overview of the randomized trials. , 1985, Progress in cardiovascular diseases.
[17] William J. Browne,et al. Bayesian and likelihood-based methods in multilevel modeling 1 A comparison of Bayesian and likelihood-based methods for fitting multilevel models , 2006 .
[18] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[19] Xiao-Li Meng,et al. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage , 2000 .
[20] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[21] Xiao-Li Meng,et al. The Art of Data Augmentation , 2001 .
[22] Dirk P. Kroese,et al. Kernel density estimation via diffusion , 2010, 1011.2602.
[23] David P Mackinnon,et al. Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods , 2004, Multivariate behavioral research.
[24] David B. Dunson,et al. Bayesian Structural Equation Modeling , 2007 .
[25] Scott M. Lynch,et al. Introduction to Applied Bayesian Statistics and Estimation for Social Scientists , 2007 .
[26] M. Cheung. A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling. , 2008, Psychological methods.
[27] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[28] Mary Kathryn Cowles,et al. Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models , 1996, Stat. Comput..
[29] N. Hjort,et al. Post-Processing Posterior Predictive p Values , 2006 .
[30] A. Gelman. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .
[31] J. Fox,et al. Bayesian estimation of a multilevel IRT model using gibbs sampling , 2001 .
[32] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[33] B. Muthén. Bayesian Analysis In Mplus : A Brief Introduction , 2010 .
[34] Xin-Yuan Song,et al. Bayesian semiparametric analysis of structural equation models with mixed continuous and unordered categorical variables , 2009, Statistics in medicine.
[35] D. Rubin,et al. Statistical Analysis with Missing Data , 1988 .
[36] Joseph L Schafer,et al. Analysis of Incomplete Multivariate Data , 1997 .
[37] Donald B. Rubin,et al. Performing likelihood ratio tests with multiply-imputed data sets , 1992 .
[38] D. Dey,et al. To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling , 2004 .
[39] Eugene G. Johnson,et al. Scaling Procedures in NAEP , 1992 .
[40] Xin-Yuan Song,et al. A Bayesian Approach for Nonlinear Structural Equation Models With Dichotomous Variables Using Logit and Probit Links , 2010 .
[41] J. Carlin. Meta-analysis for 2 x 2 tables: a Bayesian approach. , 1992, Statistics in medicine.
[42] P. Shrout,et al. Mediation in experimental and nonexperimental studies: new procedures and recommendations. , 2002, Psychological methods.
[43] A. Gelman,et al. Using Redundant Parameterizations to Fit Hierarchical Models , 2008 .
[44] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[45] Victoria Savalei,et al. Small Sample Statistics for Incomplete Nonnormal Data: Extensions of Complete Data Formulae and a Monte Carlo Comparison , 2010 .
[46] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[47] Ying Yuan,et al. Bayesian mediation analysis. , 2009, Psychological methods.
[48] B. Muthén,et al. Growth mixture modeling , 2008 .
[49] C. Robert,et al. Computational and Inferential Difficulties with Mixture Posterior Distributions , 2000 .
[50] Modeling a mixture of ordinal and continuous repeated measures , 2008 .
[51] D. Mackinnon. Introduction to Statistical Mediation Analysis , 2008 .
[52] B. Muthén,et al. Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial. , 2011, Psychological methods.
[53] T Asparouhov,et al. Muthén, B., & Growth mixture analysis: Analysis with non-Gaussian random effects. , 2008 .
[54] Roger A. Sugden,et al. Multiple Imputation for Nonresponse in Surveys , 1988 .
[55] Xiao-Li Meng,et al. POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES , 1996 .
[56] Jim Albert,et al. Ordinal Data Modeling , 2000 .
[57] S. E. Hills,et al. Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling , 1990 .
[58] Craig K. Enders,et al. Applied Missing Data Analysis , 2010 .
[59] Sik-Yum Lee,et al. Structural equation modelling: A Bayesian approach. , 2007 .
[60] John Van Hoewyk,et al. A multivariate technique for multiply imputing missing values using a sequence of regression models , 2001 .
[61] Walter R. Gilks,et al. BUGS - Bayesian inference Using Gibbs Sampling Version 0.50 , 1995 .