Simulation Study

Cross-source consensus on Simulation Study from 1 sources and 5 claims.

1 sources · 5 claims

Benefits

The main simulation study used 300 datasets for each of three scenarios with 2000 individuals per dataset. — Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
In the quadratic U-shaped scenario, Level 1 failed while Levels 2 and 3 recovered the U-shaped curve. — Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
In the S-shaped scenario, Level 3 captured features that Level 2 only approximated globally. — Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
The full Level 3 model fit in under two minutes for datasets with 2000 individuals. — Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
In the linear scenario, more flexible levels recovered the simpler truth without inventing large non-linear effects. — Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA