Iterated conditional expectation (ICE) g-computation is an estimation
ap...
While randomized controlled trials (RCTs) are critical for establishing ...
When estimating an effect of an action with a randomized or observationa...
Comparisons of treatments or exposures are of central interest in
epidem...
M-estimation is a general statistical approach that simplifies and unifi...
Causal inference methods can be applied to estimate the effect of a poin...
During the COVID-19 pandemic, governments and public health authorities ...
Marginal structural models fit via inverse probability of treatment weig...