May 29th, 2020 | 8:15 AM to 4:00 PM | Hosted on Zoom
Free for registered participants to attend
| Schedule: | |
|---|---|
| 8:30 – 9:30am | Basic Stata Commands |
| 9:30 – 10:30am | Basic Stata Estimation Commands |
| 10:45 – 11:45am | Intro to Psychometrics with Stata: Topics include reliability, Cohen’s kappa statistic, canonical correlation, Cronbach’s alpha, exploratory factor and confirmatory factor analysis, factor rotations, multivariate analysis of variance (MANOVA), contrasts and pairwise comparisons, structural equation modeling (SEM), item response theory (IRT), and latent class analysis (LCA). |
| 1 – 2:15pm | Intro to Causal Inference and Treatment Effects Basic concepts of causal inference including counterfactuals and potential outcomes are introduced. Demonstration of Stata’s -teffects- suite of commands to fit causal models using propensity score matching, inverse-probability weighting, regression adjustment, “doubly-robust” estimators that use a combination of inverse-probability weighting with regression adjustment, and nearest-neighbor matching. |
| 2:30 – 4pm | Causal Inference for Complex Observational Data Concepts in missing data such as missing at random (MAR), missing not at random (MNAR), and unobserved confounding are introduced. This talk will demonstrate how to use standard maximum likelihood estimation to fit extended regression models (ERMs) that deal with all of these common issues alone or simultaneously. |
