Validate study variables to reduce misclassification bias: recent tools and research needs
In this interactive workshop, we will identify key barriers, explore recent tools, and highlight critical research needs. Our ultimate goal is to bridge the gap between methodology and application—developing an agenda to improve validation practices, facilitate adoption, and effectively reduce misclassification bias in study results.
Hybrid workshop
27 March 2025 - 14.30 - 18.30
ARS Toscana - Villa La Quiete, via Pietro Dazzi 1 - Florence, Italy
Validation of study variables derived from Real World Data is recommended, and quantitative bias analysis methods exist to address misclassification bias. However, validation studies remain rare, and their findings are seldom integrated into Real World Evidence used for regulatory decisions.
What prevents more widespread validation? What challenges hinder the reduction of misclassification bias?
In this interactive workshop, we will identify key barriers, explore recent tools, and highlight critical research needs. Our ultimate goal is to bridge the gap between methodology and application—developing an agenda to improve validation practices, facilitate adoption, and effectively reduce misclassification bias in study results.
Registration
Workshop attendance is free of charge but registration is required both for in-person and online attendance.
Click below to:
| register for in-person attendance |
| register for online attendance |
Organizing Secretariat ARS Toscana
Jessica Fissi, Lucia Paone
347 8888418 - 055 4624325
