Multi-level Models Summer Institute 2005 Francesca Dominici Michael Griswold The Johns Hopkins University Bloomberg School of Public Health.

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Multi-level Models Summer Institute 2005 Francesca Dominici Michael Griswold The Johns Hopkins University Bloomberg School of Public Health

2005 Hopkins Epi-Biostat Summer Institute Basics Course  Multilevel Models (1 credit)  Gives an overview "multilevel statistical models" and their application in public health and biomedical research  Focuses on main ideas and examples Instructors  Francesca Dominici & Michael Griswold Web  Evaluation  4 quizzes, 1 homework

2005 Hopkins Epi-Biostat Summer Institute Learning Objectives Students will acquire a basic understanding of:  concepts, interpretations and some computations associated with MLMs  when and why MLMs can or should be used Students will learn to:  formulate substantive questions in terms of multilevel models  interpret the results of basic analyses.

2005 Hopkins Epi-Biostat Summer Institute Content Conceptual approaches to the analysis, and interpretation of studies with a multilevel or hierarchical (clustered) data structure. Development and implementation of random effects models that reflect multi-level structures for both predictor and outcome variables. Estimation and inference based on variance components, shrinkage estimation and Bayesian interpretations. Applications to health services, risk assessment, community intervention and small area estimation.

2005 Hopkins Epi-Biostat Summer Institute Structure Module 1: Main Ideas & Background Module 2: Bayesian Hierarchical Models Module 3: A 2-stage model (NMMAPS) Module 4: Profiling Health Care Providers Module 5: Spatial Epidemiology

2005 Hopkins Epi-Biostat Summer Institute Computing We’ll use WinBUGS Why BUGS?  It’s Free!  In MLMs, it’s important to see distributions e.g. Skewness of sampling distribution of variance component estimates  Important to incorporate the uncertainties in estimating random effects models  Lot’s of online examples Note that WinBugs isn’t very data input, or user friendly And, it’s difficult to produce P-values  

2005 Hopkins Epi-Biostat Summer Institute Computing Getting & Using WinBUGS 1. Go to 2. Download WinBUGS14.exe under the Obtaining the File heading 3. Follow the instructions under Installing WinBUGS 1.4 in Windows 4. Fill out the online registration form and follow the instructions under the Obtaining the key for unrestricted use heading  Watch WinBUGS - The Movie!WinBUGS - The Movie! ( )  Begin reading through the examples listed under help  You’re ready to “go Bayes”

2005 Hopkins Epi-Biostat Summer Institute And Away we go!… Questions?