2 papers
stat.AP2026
Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
Saurabh Bhandari, Parveen Bhatti, Brian C. -H. Chiu +1
In the era of precision medicine, genome-wide epigenetic modifications offer rich data that could inform risk prediction. However, these data are high-dimensional and exhibit compl…
stat.ME2026
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
Saurabh Bhandari, Michael J. Daniels, Juned Siddique
Observational cohort data is an important source of information for understanding the causal effects of treatments on survival and the degree to which these effects are mediated th…