Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
2021 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2105.04099
H
Haoda Fu
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Haoda Fu is an academic researcher from Amgen (United States). The author has contributed to research in topics: Statistical Methods in Clinical Trials & Statistical Methods and Inference & Advanced Causal Inference Techniques. The author has an h-index of 26, co-authored 121 publications.
ORCID: 0000-0002-0538-4651Papers by this author
worksRobust alternatives to ANCOVA for estimating the treatment effect via a randomized comparative study
2018 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.7433033.v1
High-dimensional Cost-constrained Regression via Non-convex Optimization
2021 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.14248536.v1
Quantile regression modeling of latent trajectory features with longitudinal data
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.8188619
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization
2021 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.14248536
Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.7433033
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