EBook notes, and Canvas Activities

• Foundations of R
• Scientific Visualization
• Review of Multivariate and Mixed Linear Models
• Causality/Causal Inference and Structural Equation Models
• Generalized Estimating Equations
• PCOR/CER methods Heterogeneity of Treatment Effects
• Big-Data / Big-Science
• Scientific Validation: Internal statistical cross-validaiton
• Missing data
• Genotype-Environment-Phenotype associations
• Variable selection (regularized regression and controlled/knockoff filtering)
• Medical imaging
• Databases/registries
• Meta-analyses
• Classification methods
• Longitudinal data and time-series analysis
• Geographic Information Systems (GIS)
• Psychometrics and Rasch measurement model analysis
• MCMC sampling for Bayesian inference
• Network Analysis