5 citations · 11 across the 4 of their papers we have counts for
4 papers · 1 filter
Towards R-learner with Continuous Treatments
Yichi Zhang, Dehan Kong, Shu Yang
The R-learner is widely used in causal inference due to its flexibility and efficiency in estimating the conditional average treatment effect. However, extending the R-learner fram…
Covariance Estimation for Matrix-valued Data
Yichi Zhang, Weining Shen, Dehan Kong
Covariance estimation for matrix-valued data has received an increasing interest in applications. Unlike previous works that rely heavily on matrix normal distribution assumption a…
Interpretable Dynamic Treatment Regimes
Yichi Zhang, Eric B. Laber, Anastasios Tsiatis +1
Precision medicine is currently a topic of great interest in clinical and intervention science. One way to formalize precision medicine is through a treatment regime, which is a se…
Using Decision Lists to Construct Interpretable and Parsimonious Treatment Regimes
Yichi Zhang, Eric B. Laber, Anastasios Tsiatis +1
A treatment regime formalizes personalized medicine as a function from individual patient characteristics to a recommended treatment. A high-quality treatment regime can improve pa…