Join Alessandro for a free seminar on the use of Bayesian methods at RDA

We are happy to announce that Dr Alessandro Gasparini will be giving a seminar on the use and development of Bayesian statistics at Red Door Analytics, hosted at Karolinska Institutet. The seminar is part of the Learn Bayes seminar series, organised by Karolinska Institutet.

Dr Alessandro Gasparini is a Principal Statistical Methodologist at Red Door Analytics. He has significant experience working with real-world evidence studies and a strong background in survival analysis, longitudinal data analysis, multilevel modeling, and computational statistics. Alessandro’s work focuses on both methods development and their practical application.

Abstract: Bayesian Joint Models for Longitudinal Cluster Randomised Trials with Informative Dropout with Dr Alessandro Gasparini

We recently introduced a frequentist joint modelling approach to account for informative dropout in longitudinal stepped wedge cluster-randomised trials (Gasparini et al., Statistics in Medicine, 2025). This approach combines a linear mixed-effects model for the longitudinal outcome of interest with a survival model for the dropout process, jointly estimating both components. We now extend this methodology to longitudinal cluster-randomised trials (a special case of the stepped wedge design) and adopt a Bayesian framework to enhance the interpretability of trial results and increase statistical power by incorporating prior knowledge or beliefs, when available. We illustrate the Bayesian joint modelling approach in practice using data from the CARING trial, a cluster-randomized controlled trial evaluating an integrated community strategy to promote maternal nutrition and paediatric outcomes in rural eastern India, where undernutrition is highly prevalent.

Details

Date: April 10th
Time: 14:00-15:00 CEST
Location: Rockefeller, Nobels väg 9, Solna, Sweden
Cost: Free
KI website

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