3 papers
stat.CO2024
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
Raphael Morsomme, Shannon Holloway, Marc Ryser +1
Multi-state models of cancer natural history are widely used for designing and evaluating cancer early detection strategies. Calibrating such models against longitudinal data from…
stat.ME2022
Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model
Jenny Huang, Raphaël Morsomme, David Dunson +1
Throughout the course of an epidemic, the rate at which disease spreads varies with behavioral changes, the emergence of new disease variants, and the introduction of mitigation po…
stat.CO2022
Exact Inference for Stochastic Epidemic Models via Uniformly Ergodic Block Sampling
Raphael Morsomme, Jason Xu
Stochastic epidemic models provide an interpretable probabilistic description of the spread of a disease through a population. Yet, fitting these models to partially observed data…