Skip to main navigation Skip to search Skip to main content

From study to target populations: addressing external validity through the Lens of Transportability and Generalisability

  • Mona Kanaan (Chair)
  • Elizabeth Tipton (Speaker)
  • Issa Dahabreh (Speaker)
  • James R. Carpenter (Speaker)
  • Boehnke, J. (Speaker)

Activity: Talk or presentation typesOral presentation

Description

Randomised and observational studies each have unique strengths and limitations when estimating causal effects for a target population. While estimates derived from randomised controlled trials may possess internal validity, they often fail to adequately represent the target population due to restrictive inclusion criteria. Observational data are more likely to represent the target population, increasing the likelihood of external validity. However, evidence from observational studies is prone to potential bias due to unmeasured confounding. A framework has recently been proposed to address the external validity bias through evaluating generalisability and transportability. This session will explore the current developments.

[The topic of my talk was invited and its title was "Measurement invariance in outcomes: A problem for transportability?]
[Invited presentations for the Medical Statistics Section.]
Period3 Sept 2025
Event titleRoyal Statistical Society International Conference 2025
Event typeConference
LocationEdinburgh, United KingdomShow on map

UN SDGs

This activity contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Psychometrics
  • Causality
  • Estimands