6 papers
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…
A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
Karina Gelis-Cadena, Michael Daniels, Juned Siddique
We address causal estimation in semi-competing risks settings, where a non-terminal event may be precluded by one or more terminal events. We define a principal-stratification caus…
Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
Mirajul Islam, Michael J. Daniels, Juned Siddique
Cardiovascular disease (CVD) cohort studies collect longitudinal data on numerous CVD risk factors including body mass index (BMI), systolic blood pressure (SBP), diastolic blood p…
A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
Zeynab Aghabazaz, Michael J Daniels, Donald M Lloyd-Jones +1
We introduce a novel Bayesian approach for jointly modeling longitudinal cardiovascular disease (CVD) risk factor trajectories, medication use, and time-to-events. Our methodology…
Bayesian feature selection in joint models with application to a cardiovascular disease cohort study
Mirajul Islam, Michael J. Daniels, Zeynab Aghabazaz +1
Cardiovascular disease (CVD) cohorts collect data longitudinally to study the association between CVD risk factors and event times. An important area of scientific research is to b…
A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
Saurabh Bhandari, Michael J. Daniels, Maria Josefsson +2
Causal mediation analysis of observational data is an important tool for investigating the potential causal effects of medications on disease-related risk factors, and on time-to-d…