Heterogeneous treatment effects are driven by treatment effect modifiers...
About forty years ago, in a now–seminal contribution, Rosenbaum Rubi...
Continuous treatments have posed a significant challenge for causal
infe...
Longitudinal modified treatment policies (LMTP) have been recently devel...
We present an end-to-end methodological framework for causal segment
dis...
Several recently developed methods have the potential to harness machine...
The covariance matrix plays a fundamental role in many modern explorator...
Causal mediation analysis has historically been limited in two important...
Targeted Learning is a subfield of statistics that unifies advances in c...
Inverse probability weighted estimators are the oldest and potentially m...
The advent and subsequent widespread availability of preventive vaccines...
Interventional effects for mediation analysis were proposed as a solutio...
Current statistical inference problems in areas like astronomy, genomics...