Learning causal effects of a binary exposure on time-to-event endpoints can be challenging
because survival times may be partially observed due to censoring and systematically …

For many rare diseases with no approved preventive interventions, promising interventions
exist, yet it has been difficult to conduct a pivotal phase 3 trial that could provide direct …

In survival analysis, complex machine learning algorithms have been increasingly used for
predictive modeling. Given a collection of features available for inclusion in a predictive …

This dissertation develops practical methodology incorporating modern machine learning
techniques into statistical inference, with a particular focus on the analysis of time-to-event …