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Integrating Methodologic Advances into Prevention Research
Papers
Karen Bandeen-Roche, Johns Hopkins
Building
Latent Class Regressions with Covariate Effects on Underlying and Measured
Variables
Hendricks Brown, USF
Power
Calculations for Data Missing by Design: Applications to as Follow-up
Study of Lead Exposure and Attention (1999)
Getachew Dagne, USF
Hierarchical
Modeling of Sequential Behavioral Data: An Empirical Bayesian Approach
Alka Indurkhya, Harvard
The
Effect of Outliers on Confidence Interval Procedures for Cost-Effectiveness
Ratios Statistics in Medicine (2001)
The Power of Tests in Configural Frequency Analysis Psychologische Beitrage (2001)
Andreas Klein, UCLA
Quasi
Maximum Likelihood Estimation of Structural Equation Models with Multiple
Interaction and Quadratic Effects
Klaus Larsen, UCLA
*Rough
Draft - DO NOT DISTRIBUTE*: Survival
Analysis with Multiple Discrete Indicators of Latent Classes (2002)
Gitta Lubke, UCLA
Factor-analyzing
Likert-scale data under the assumption of multivariate normality complicates
a meaningful comparison of observed groups or latent classes
Katherine Masyn, UCLA
Discrete-Time
Survival Mixture Analysis (2001)
Bengt Muthén, UCLA
An
application-oriented overview of mixture modeling: Integrating
Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling
with Latent Trajectory Classes (2000)
The "GGMM" paper forthcoming in Biostatistics: General Growth Mixture Modeling for Randomized Preventive Interventions (2002)
Overview of Mplus modeling capabilities (statistically oriented), forthcoming in Behaviormetrika: Beyond SEM: General Latent Variable Modeling (2002)
Chen-Pin Wang, USF
*Rough
Draft - DO NOT DISTRIBUTE*: Residual
Diagnostics for General Growth Mixture Models: Examining the Impact of
a Preventive Intervention on Multiple Trajectories of Aggressive Behavior