Date: 2024-03-14

Time: 14:00-15:00 (UK time)

Strand S5.20

Abstract

Routinely collected healthcare data is becoming more commonly used for healthcare research. The increasing availability of such data promises advantages in the shape of largescale, representative data, but also brings many challenges which require statistical innovation. I will highlight some of these promises and challenges using four examples illustrating the use of routinely collected data, including modelling lung function trajectories of cystic fibrosis patients, dynamic prediction of cardiovascular disease, multi-state modelling of multimorbidity and predicting outcomes for intensive care patients.

Speaker

Dr. Jessica Barrett is a Principal Research Associate and MRC Investigator at the Medical Research Council Biostatistics Unit, University of Cambridge. Her research involves developing statistcal methods for electronic health records. Specifically, she has worked on methods for the joint modelling of longitudinal and survival data, applied to lung function and survival in cystic fibrosis patients. Other research interests include the meta-analysis of survival data, network meta-analysis and multi-state models.