While randomized controlled trials (RCTs) are critical for establishing ...
People living with HIV on antiretroviral therapy often have undetectable...
Interference occurs when the treatment (or exposure) of a unit affects t...
Comparisons of treatments or exposures are of central interest in
epidem...
Causal inference methods can be applied to estimate the effect of a poin...
During the COVID-19 pandemic, governments and public health authorities ...
Assessing population-level effects of vaccines and other infectious dise...
In the analysis of observational studies, inverse probability weighting ...
High-dimensional low sample size (HDLSS) data sets emerge frequently in ...
Marginal structural models fit via inverse probability of treatment weig...
Individualized treatment rules can lead to better health outcomes when
p...
Cluster-randomized trials are often conducted to assess vaccine effects....
Estimating population-level effects of a vaccine is challenging because ...
Accurate power calculations are essential in small studies containing
ex...
While the HVTN 505 trial showed no overall efficacy of the tested vaccin...
Interference occurs when the treatment (or exposure) of one individual
a...
Interference occurs between individuals when the treatment (or exposure)...
We investigate large-sample properties of treatment effect estimators un...
Inferring causal effects from an observational study is challenging beca...