Half-day Workshop 3 - Quantitative Bias Analysis with application to issues of misclassification
Tracks
Track 1
Track 2
Track 3
Track 4
| Wednesday, July 16, 2025 |
| 1:00 PM - 5:00 PM |
| Grand Room 3 |
Details
Description: Random error is nearly always quantified in biomedical / epidemiologic research results, while systematic error is rarely quantified. This disparate treatment exists despite the fact that systematic error often dominates the uncertainty about an estimate, and the fact that methods for quantitative bias analysis have been described for decades. Shifting point estimates to account for bias, as well as widening study intervals to account for the uncertainty due to systematic error, provides a more complete assessment of total study error and reduces the chances of inferential errors. The course will give an introduction to the available methods for the case of bias due to misclassification.
Presenter:
Dr Matthew Fox DSc, Professor, Departments of Epidemiology and Global Health, Boston University
