Events Calendar

Workshop: Sensitivity Analysis

Wednesday, July 10, 2019
10:00 am - 12:00 pm
Kresge Building (KB)
Room: John J. Koval Graduate Computing Lab, K7

Observational studies in epidemiology must contend with bias due to selection, measurement and confounding. It is never possible to be certain that study results are unbiased. One can however, explore the potential magnitude and direction of systematic errors offering alternative explanations for the observed results.  This workshop will introduce simple methods for such sensitivity analyses using examples from the literature. Resources for more advanced methods will be provided although this workshop is intended for students with only a basic understanding of epidemiology and biostatistics. Although attention will focus on observational studies the unique challenges of quantitative bias analyses for randomized trials will also be considered.

Presenters: Dr. Neil Klar, Associate Professor and Undergraduate Chair, Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry

Natalie Nightingale

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