May 2, 2006

140.656: MULTILEVEL STATISTICAL MODELS IN PUBLIC HEALTH

LECTURES

· Part 01: Overview, multi-level linear models, over-dispersion and improving estimates

· Part 02: Marginal & Conditional models, Variance Components,

§ Random effects and Bayes, General MLMs

· Part 03: Small case studies: Teacher expectancy; Diabetes control

· Part 04: Logistic regression, other non-linear models, GEE;

§ Examples: Crossover study, British Social Attitudes Survey

· Part 05: Basic Bayes

· Part 06: Ranking: Introduction, issues and examples

· Part 07: Case Study: Evaluating Hospital Performance

· Part 08: Two-stage modeling and joint modeling

· Part 09: Application of Multi-level Models to spatial Epidemiology

· Part 10: The National Mortality and Morbidity Air Pollution Study (Francesca Dominici)

· Part 11: Design

· Part 12: Robustness, Efficiency, Weighting

· Part 13: Missing data, measurement error

· Part 14: Coda