Seventh Seattle Symposium Registration Site
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4-Day Online Symposium
The role of causal inference in biomedical research: dare we speak of ‘effect’?
The field of causal inference has seen a massive expansion in recent years and is now one of the most active areas of biostatistical research. The concepts and tools developed in causal inference are intended to support practitioners in their quest for evidence on causal relationships, often critical for scientific progress. While powerful, these tools can also be easily misunderstood or misused — this has made some biostatisticians and epidemiologists apprehensive of the growing prominence of the field.
The symposium will address:
- how causal inference can be leveraged to inform the design and enhance the analysis of observational and randomized studies, including combinations of both;
how causal inference has stimulated the integration of machine learning into statistical inference;
- how causal inference provides clarity on assumptions that suffice to infer causality from different study designs and informs strategies for sensitivity analyses.
Details
- Dates: Saturday, November 22 – Tuesday, November 25, 2025
- Format: Online
- Time: 8:30 a.m. to 1 p.m. PST each day
- Short courses: Select full- and half-day online short courses will be offered Saturday November 15 and Sunday November 16, 2025. See short course tab for course titles.
- Registration: Navigate to the REGISTRATION tab to register for the Symposium and/or the short courses.
- Registration for the Seventh Seattle Symposium Short Courses closes at 5 p.m. PST on Thursday, November 13.
- Registration for the Seventh Seattle Symposium closes at 5 p.m. PST on Thursday, November 20.
Registration rates are outlined below.
Symposium Short Courses* Early Student (through 11/9) No early rate No early rate Student $35 $35 Early General (through 11/9) $165 $165 General $185 $185 Early Group** (larger than 15; through 11/9) $105 No group rate Group** (larger than 15) $125 No group rate
*The short course fee allows access to all short courses; it is not a per course fee. Recordings of all short courses will be available to registrants through December, 31.
**A group discount rate is available for organizations that register 15 or more individuals. Please send an email to nelsod6@uw.edu to request a group-specific code that individuals can use when they register.
Registrations paid via University of Washington worktag receive a ~13.5% discount.
Keynote Presentations
Appropriate implementation of the estimands framework in clinical trials
Greg Levin, PhD, Associate Director for Statistical Science and Policy, Office of Biostatistics, Food and Drug Administration. Presented November 22 at Session 1: Causal inference in randomized studies
Evidence triangulation in dementia research
Maria Glymour, SD, Chair and Professor, Department of Epidemiology, Boston University. Presented November 23 at Session 2: Causal inference in observational studies
Unlocking the potential of EHR data for real-world evidence: opportunities and challenges
Tianxi Cai, ScD, Professor of Biomedical Informatics, Harvard Medical School; John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health. Presented November 24 at Session 3: Data fusion in causal inference
Fortified Proximal Causal Inference with many imperfect negative controls
Eric Tchetgen Tchetgen, PhD, Professor of Biostatistics, Biostatistics and Epidemiology; Professor of Statistics and Data Science; The Wharton School, University of Pennsylvania. Presented November 25 at Session 4: Causal inference: past, present and future
Questions
Contact: uwbiost@uw.edu
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