INVITED : Optimal design of longitudinal cluster randomised trials

Propensity score in causal studies

COVID19 modelling

Dynamic prediction

Meta-analysis for prediction models

Multi-state model

Neural network and machine learning

Study designs

VIRTUAL POSTER ROOM : EPIDEMIOLOGY

INVITED : Challenges and opportunities for learning from long term disease registers

INVITED : The best of both worlds: combining deep learning and modeling

Missing data in causal studies

Cluster randomized trials

Meta-analysis

Prediction model for omics data

competing risks and multi-state models

VIRTUAL POSTER ROOM : SURVIVAL ANALYSIS

INVITED : Causal inference in continuous time for dense longitudinal data from wearable devices

Bayesian clinical trial analysis

Prediction by Machine learning

Screening and Diagnostic studies

Bayesian Joint models for longitudinal data and time-to-event

cure and mixture models

longitudinal data analysis :

Missing data & measurement error

VIRTUAL POSTER ROOM : EPIDEMIC MODELING