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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…
stat.ME2026
Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan
Zeynab Aghabazaz, Michael J Daniels, Hongyan Ning +2
We introduce a statistical framework for combining data from multiple large longitudinal cardiovascular cohorts to enable the study of long-term cardiovascular health starting in e…