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