Instruction in preparing abstracts, posters, all aspects of manuscripts, and oral presentations.

Instruction in the methods of systematic and unbiased identification of primary research studies; abstraction of data; determination of summary estimates and evaluation of heterogeneity.

Instruction in different types of program evaluation, including needs assessment, formative research, process evaluation, monitoring of outputs and outcomes and impact assessment; developing an evaluation plan and using systematically collected information about a program to understand whether and how the program is meeting its stated goals and objectives; improve program effectiveness; make decisions about future programming.

An introduction to the different target audiences and approaches needed to translate biomedical evidence into practice. The course is the gateway for scholars who plan for additional study within this discipline but also suffices as cross-exposure for scholars from other disciplines. In addition to didactic work, scholars are guided through the creation of a research protocol aimed towards translating their particular choice of evidence into practice.

Introduces the principles and applied methods of community engaged research, including defining the community and partnership models for identifying relevant research questions, developing and implementing study designs, interpreting and disseminating findings, and scaling-up studies for translational implementation research.

This course will focus on clearly articulating and testing research hypotheses related to the determinants and consequences of chronic conditions. Each session will introduce specific methodological concepts for epidemiologic studies, organized around an illustrative applied research paper. The course will emphasize causal inference from observational data. Most examples will be drawn from literature on social and lifecourse determinants of dementia, stroke, and cardiometabolic disease.

A continuation of the Winter Quarter course in multivariable statistical analysis that includes instruction in survival analysis and analysis of repeated measures and clustered data. The course culminates with student presentations of statistical analyses of their own research projects.