We examine interval estimation of the effect of a treatment T on an outc...
Causal mediation analysis studies how the treatment effect of an exposur...
Survival outcomes are common in comparative effectiveness studies and re...
A key to causal inference with observational data is achieving balance i...
It is often critical for prediction models to be robust to distributiona...
Causal inference, or counterfactual prediction, is central to decision m...
Causal mediation analysis aims to investigate how the treatment effect o...
There is growing interest in applying machine learning methods for
count...
This paper evaluates the effects of being an only child in a family on
p...
This paper evaluates the effects of being the only child in a family on
...
Imbalance in baseline characteristics due to chance is common in randomi...