1 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
Double/debiased machine learning of quantile treatment effects on long-term outcomes in clinical trials
Ziyang Liu, Niwen Zhou, Peng Wu +1
Long-term outcomes are often unavailable in randomized clinical trials, although short-term surrogate outcomes are commonly observed. External observational data may contain the lo…
A projection-based model checking for heterogeneous treatment effect
Niwen Zhou, Xu Guo, Lixing Zhu
In this paper, we investigate the hypothesis testing problem that checks whether part of covariates / confounders significantly affect the heterogeneous treatment effect given all…
On IPW-based estimation of conditional average treatment effect
Niwen Zhou, Lixing Zhu
The research in this paper gives a systematic investigation on the asymptotic behaviours of four inverse probability weighting (IPW)-based estimators for conditional average treatm…
Outcome regression-based estimation of conditional average treatment effect
Lu Li, Niwen Zhou, Lixing Zhu
The research is about a systematic investigation on the following issues. First, we construct different outcome regression-based estimators for conditional average treatment effect…
The Role of Propensity Score Structure in Asymptotic Efficiency of Estimated Conditional Quantile Treatment Effect
Niwen Zhou, Xu Guo, Lixing Zhu
When a strict subset of covariates are given, we propose conditional quantile treatment effect to capture the heterogeneity of treatment effects via the quantile sheet that is the…