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Summer Institute

2017 Summer Short Courses
June 26 - 30, 2017 · Philadelphia, PA

Introduction to Multilevel Analysis for Urban Health Research

Mornings 8:30 am-12:00 pm

Instructors: Ana Diez Roux and Félice Lê-Scherban 
(Epidemiology and Biostatistics, Urban Health Collaborative, Dornsife School of Public Health, Drexel University)

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This course will review the fundamental principles of multilevel analysis and discuss how it differs from other analytical approaches. The type of questions for which multilevel analysis is most useful will be discussed. Students will learn how to specify, fit, and interpret multilevel models. Prior knowledge of linear regression is required. Emphasis will be on conceptual understanding, application and interpretation. Examples from urban health research will be discussed. Conceptual and methodological challenges in using multilevel analysis will be reviewed. This course may be of interest to public health professionals, researchers, and students who conduct or interpret quantitative research and have some familiarity using statistical software to conduct and interpret simple analyses.

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Health Impact Assessments and Applied Public Health Research

Mornings 8:30 am-12:00 pm

Instructors: Amy Hillier (Department of City and Regional Planning, PennDesign, University of Pennsylvania) and Clint Randall (JLL)

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This course will introduce participants to the process of designing and implementing health impact assessments (HIA) as one approach to applied public health research. In addition to discussing completed HIAs, participants and instructors will engage together in the process of completing a ‘rapid’ or ‘desktop’ HIA based on a current public health issue in Philadelphia. This hands-on part of the course will involve primary data collection, secondary data analysis (including a limited amount of GIS), and presentation of recommendations to an audience of stakeholders. We will also critically reflect on the strengths and limitations of HIAs as a means for broadening public participation, promoting equity, and supporting evidence-based decision-making.

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Introduction to Bayesian Analysis for Public and Urban Health

Afternoons 1:30-5:00 pm

Instructor: Harrison Quick (Epidemiology and Biostatistics, and Faculty Affiliate with the Urban Health Collaborative, Dornsife School of Public Health, Drexel University)

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Bayesian methods combine information from various sources and are increasingly used in biomedical and public health settings to accommodate complex data and produce readily interpretable output. This course will introduce students to Bayesian methods, emphasizing the basic methodological framework, real-world applications, and practical computing.  Special consideration will be given to methods for spatial data analysis.

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2016 Summer Short Courses

The Dornsife School of Public Health Urban Health Collaborative hosted the inaugural Summer Short Courses in Urban Health Research in June 2016. Matt Kleinmann, a doctoral student in architecture at the University of Kansas, took part in the courses, and produced this short video about the short course program.