Applied Regression
This course will provide students with a thorough introduction to applied regression analysis, which has been a commonly used and almost standard method for analyzing continuous response data in Public Health research. Topics covered include simple linear regression, multiple linear regression, analysis of variance, parameter estimation, hypothesis testing, interpretation of estimates, interaction terms, variable recoding, examination of validity of underlying assumptions, regression diagnostics, model selection, logistic regression analysis, generalized linear models as well as discussions on relationships of variables in research and using regression results for either prediction or estimation purposes. Real data are emphasized and analyzed using SAS.
Behavioral Policy & Public Health
Applications of behavioral insights are expanding rapidly across civic, medical, social, corporate, educational, and economic professions. This class covers the underlying theories for behavioral science, using scientific and real-world examples of applications from multiple disciplines and locations. The course will also cover methods for behavioral policy implementation and evaluation, focusing particularly on healthcare policy perspectives. Students will learn a broad range of strategies through a highly interactive format, taught partially in a classroom setting in addition to remote asynchronous and synchronous sessions. Students will gain experience designing and developing their own evidence-based behavioral interventions as a part of a group project.
- R 5:30 p.m.-6:30 p.m.
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Instructor:
Kai Ruggeri
h-index: 22 Info - 1.5 points
Methods in Program Evaluation
Increasing demand for transparency and accountability, particularly with respect to donor-funded humanitarian programs, has heightened the need for skilled evaluators. To this end, students in this course will become familiar with various forms of evaluation and acquire the technical skills necessary for their development, design and execution through lectures and discussion, exercises, guest presentations and real-world examples. Specifically, students will discover evidence-based methods for identifying stakeholders, crafting evaluation questions, designing instruments, sampling and data gathering to achieve good response rates, analysis and synthesis of information for report-writing and case studies.
- R 6:40 p.m.-8 p.m.
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Instructor:
Vandana Tripathi
Info - 3 points
Community-Based Participatory Research
Comm-Based Participatory
Community-Based Participatory Research (CBPR) has received growing attention over the past several decades as international, domestic, funding agencies and researchers have renewed a focus on an approach to health that recognizes the importance of social, political, and economic systems to health behaviors and outcomes. The long-standing importance of this approach is already reflected in the 1988 Institute of Medicine’s (IOM) landmark report The Future of Public Health and many other publications. The report indicates that communities and community-based organizations are one of six potential partners in the public health system and that building community-based partnerships is a priority area for improving public health. CBPR is not a method but an approach to research and practice that involves the active collaboration of the potential beneficiaries and recognizes and values the contributions that communities and their leaders can make to new knowledge and to the translation of research findings into public health practice and policy. CBPR is a collaborative approach to research that recognizes the value of equitably involving the intended beneficiaries throughout all phases of research and/or intervention design, implementation, and evaluation. CBPR is also an important approach to advance health and social equity and is essentially a way to promote and operationalize health and social equity in research settings.
- W 5:30 p.m.-6:50 p.m.
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Instructor:
Renata Schiavo
h-index: 10 Info - 3 points