Conference Program day 2: Wednesday April 10
|09:30||Keynote 3: Paul Bürkner
Bayesian Multilevel Modeling with brms and Stan.
Developing a statistical analysis assistant for Small Area Estimation in StatJR.
Using R to Evaluate Collinearity in Mixed Models.
|10:40||Coffee and Tea Break|
Detecting Effects of Age, Period and Cohort on Growth Trajectory using Multilevel Modeling: Examination of Wage Trajectory of 1999-2016 in Taiwan.
Testing replication of structural equation models.
The social relations model for count data: To Bayes or not to Bayes.
Bayesian Covariance Structure Modelling. A novel method for multilevel data demonstrated with simulation and real data studies.
|Young Researcher Award nominees|
Assessing Individual Change Processes Bayesian Covariance Structure Modelling for negative associations among patients with personalized treatments.
Modeling Student Mobility Using Hierarchical Networks.
Modeling longitudinal dyadic data in the SEM framework.
|14:20||Coffee and Tea Break|
Variability as an Outcome Variable: Using Multilevel SEM to Model Lower-level Random Effect Variance as Higher-level Latent Variables.
Multilevel latent class (MLC) modelling of simulated upper-level causal effects in observational data.
Experimental design for multi-level data: Improving our approach to power analysis using Monte Carlo simulation-based parameter recovery estimation.
|16:00||End of day 2|