4 papers
Typical Healthcare Pathways as a Basis for Admixture Modeling of Patient Trajectories
Maryam Farhadizadeh, Carola S. Heinzel, August Sigle +5
Background: Understanding whether patients follow similar or distinct patterns of care is important for characterizing clinical practice, identifying patient subgroups, and support…
Assessment of Simulation-based Inference Methods for Stochastic Compartmental Models in Epidemiological Research
Vincent Wieland, Nils Wassmuth, Lorenzo Contento +2
Global pandemics, such as the recent COVID-19 crisis, highlight the need for stochastic epidemic models that can capture the randomness inherent in the spread of disease. Such mode…
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
Jonas Arruda, Sophie Chervet, Paula Staudt +6
Selection bias arises when the probability that an observation enters a dataset depends on variables related to the quantities of interest, leading to systematic distortions in est…
Efficient numerical computation of traveler states in explicit mobility-based metapopulation models: Mathematical theory and application to epidemics
Henrik Zunker, René Schmieding, Jan Hasenauer +1
Metapopulation models are powerful tools for capturing the spatio-temporal spread of infectious diseases. Models that explicitly account for traveler origins and destinations, such…