Missing Data Analysis

Lecture @ISU (2020, Fall semester)

Course Syllabus (here)

1. Week 1: Introduction (Slide), Likelihood approach (Slide, Youtube lecture: Script, Part1, Part2, Part3 )
2. Week2: Observed likelihood (Slide1 , Slide2); Youtube Lecture: Part1, Part2, Part3, Part4, Part5)
3. Week 3: Computation
4. Week 4: EM algorithm
5. Week 5: Monte Carlo EM
6. Week 6: Imputation
7. Week 7: Variance estimation after imputation
8. Week 8: Multiple imputation
9. Week 9: Fractional imputation