Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
We consider Bayesian inference for stochastic differential equation mixed effectsmodels (SDEMEMs) exemplifying tumour response to treatment and regrowth in mice. We produce an extensive study on how an SDEMEM can be fitted by using both exact inference based on pseudo-marginal Markov chain Monte Carlo sampling and approximate inference via Bayesian synthetic likelihood (BSL). We investigate a two-