Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling.
暂无分享,去创建一个
[1] Bengt Muthén,et al. Analysis of reading skills development from kindergarten through first grade: An application of growth mixture modeling to sequential processes , 2002 .
[2] B. Muthén,et al. The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a U.S. national sample. , 2000, Journal of studies on alcohol.
[3] Gerhard Arminger,et al. Mixtures of conditional mean- and covariance-structure models , 1999 .
[4] Kathryn Roeder,et al. Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology , 1999 .
[5] B. Muthén,et al. Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm , 1999, Biometrics.
[6] Daniel S. Nagin,et al. Analyzing developmental trajectories: A semiparametric, group-based approach , 1999 .
[7] R. Little,et al. Statistical Techniques for Analyzing Data from Prevention Trials: Treatment of No-Shows Using Rubin's Causal Model , 1998 .
[8] Scott L. Zeger,et al. Latent Variable Regression for Multiple Discrete Outcomes , 1997 .
[9] Gerhard Arminger,et al. Finite Mixtures of Covariance Structure Models with Regressors , 1997 .
[10] Yiu-Fai Yung,et al. Finite mixtures in confirmatory factor-analysis models , 1997 .
[11] W. DeSarbo,et al. Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity , 1997 .
[12] Bengt Muthén,et al. General Longitudinal Modeling of Individual Differences in Experimental Designs: A Latent Variable Framework for Analysis and Power Estimation , 1997 .
[13] Peter G. M. van der Heijden,et al. Estimating the Concomitant-Variable Latent-Class Model With the EM Algorithm , 1996 .
[14] L. Johnston,et al. Getting drunk and growing up: trajectories of frequent binge drinking during the transition to young adulthood. , 1996, Journal of studies on alcohol.
[15] G. Verbeke,et al. A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population , 1996 .
[16] Michel Wedel,et al. On Estimating Finite Mixtures of Multivariate Regression and Simultaneous Equation Models , 1996 .
[17] T. Moffitt,et al. LIFE-COURSE TRAJECTORIES OF DIFFERENT TYPES OF OFFENDERS* , 1995 .
[18] H. Carter,et al. Mixed-effects regression models for studying the natural history of prostate disease. , 1994, Statistics in medicine.
[19] T. Moffitt. Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. , 1993, Psychological review.
[20] K. Land,et al. AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL* , 1993 .
[21] A. Formann. Linear Logistic Latent Class Analysis for Polytomous Data , 1992 .
[22] L. Collins,et al. Latent Class Models for Stage-Sequential Dynamic Latent Variables , 1992 .
[23] William Meredith,et al. Latent curve analysis , 1990 .
[24] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[25] George B. Macready,et al. Concomitant-Variable Latent-Class Models , 1988 .
[26] D. Bartholomew. Latent Variable Models And Factor Analysis , 1987 .
[27] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[28] B. Everitt,et al. Finite Mixture Distributions , 1981 .
[29] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[30] W. Gibson. Three multivariate models: Factor analysis, latent structure analysis, and latent profile analysis , 1959 .