Regression models (linear, nonlinear, logistic, Poisson, Cox, GLM, penalized, hierarchical, etc.), principal component analysis and dimensionality reduction, k-nearest neighbors, time series, time-to-event models, longitudinal data analysis, discriminant analysis, machine learning and predictive modeling, survey data analysis.