Events

Abstract: Randomized controlled trials are the gold standard approach for estimating causal effects of treatments on health outcomes, but are typically restricted to relatively short follow-up time and a subset of the eventual treatment population. Observational data on treatment use offers the possibility of estimating treatment effects over long periods of follow-up and in diverse populations. However, to estimate treatment effects from observational data we must tackle the challenge of confounding, especially by time-dependent covariates. This talk will explore methods for estimating the effects of treatment on survival using longitudinal observational data, with a particular emphasis on how we can create a ‘target trial’ within an observational cohort. I am motivated by the aim of estimating the effect of a treatment used in cystic fibrosis on survival using data from the UK Cystic Fibrosis Registry.

The Sociology Seminar Series is convened by Bess Bukodi and Colin Mills.  For more information about this or any of the seminars in the series, please contact sociology.secretary@nuffield.ox.ac.uk.