Presents a Bayesian framework extending latent factor models to mixed outcomes for drug benefit-risk analysis with sequential Monte Carlo for dynamic decision making.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2022 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bayesian Benefit-Risk Assessment with Dependent Outcomes via Latent Factor Models
Presents a Bayesian framework extending latent factor models to mixed outcomes for drug benefit-risk analysis with sequential Monte Carlo for dynamic decision making.