The workshop will consist of a brief overview of the PATH Study and detailed discussion of sample design and weights for all types of PATH Study data files (including youth, adult, biomarker, and state identifier data files). Participants will also gain hands-on experience working with the data and understanding the weighted results.

The focus of this workshop will be on understanding and using the PATH Study data files, not on a specific analytic approach. The workshop will be a combination of lecture, discussion, and hands-on exercises.

The course is designed for academic faculty and research professionals as well as for graduate students interested in tobacco regulatory science and/or tobacco biomarkers of exposure. Participants should be comfortable with data analysis software and quantitative research methods. All examples and exercises will utilize SAS statistical software, although participants may use the software of their choice. The workshop will include two full days of instruction and exercises. To get the most out of the workshop, participants should plan to attend both full days.

Prerequisites: Participants should have a basic understanding of secondary data organization and manipulation, fundamental data analysis skills, working knowledge of a statistical software package (e.g., SAS, Stata, and R) and a substantive interest in tobacco regulatory research.

Application: Admission to this workshop is competitive. Enrollment is limited. Apply using the ICPSR Summer Program portal. Please upload the following documents with your application:

1. Current curriculum vita with a select list of publications (Please highlight your research interests and any experience and/or coursework relevant to the PATH Study Summer Workshop, particularly prior experience with tobacco research and/or quantitative analytic methods.)
2. Research project description (Priority will be given to applicants whose project description indicates interest in using the PATH Study data for tobacco regulatory research. The project description should include references to theory or historical context, how the project extends what is presently known, and why the PATH Study data are needed for the project.)