Methodological expertise
- Longitudinal modeling
- Gaussian, logit, Poisson, ZIP/ZINB distributions
- Growth modeling (latent and multilevel approaches)
- Change scores, first-order autoregression
- Survival analysis
- Classification models
- Analysis of dynamic health data
- Household clustered national probability samples
- Non-random missing data (mortality selection)
- Toolkit
- SAS (e.g., PROC SURVEYREG, PROC GLIMMIX, arrays/macros)
- R (e.g., Tidyverse, ggplot2, RSiena)
- Mplus