Estimating causal effects from large experimental and observational data...
Time-to-event analysis is an important statistical tool for allocating
c...
Covariate balance is crucial in obtaining unbiased estimates of treatmen...
Many scientific questions require estimating the effects of continuous
t...
In causal inference, a variety of causal effect estimands have been stud...
Inverse probability of treatment weighting (IPTW), which has been used t...
The ability to perform offline A/B-testing and off-policy learning using...
Marginal structural models (MSMs) estimate the causal effect of a
time-v...