Yuanjia Wang

Statistics and Probability · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 44 citations into it
• Artificial Intelligence — 13 citations into it
• Experimental and Cognitive Psychology — 10 citations into it
• Pharmacology — 8 citations into it
• Causal Inference & Discovery — 7 citations into it
• Economics and Econometrics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Yuanjia Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Susan A. Murphy
2. James M. Robins
3. Ying‐Qi Zhao
4. Philip W. Lavori
5. Min Qian
6. Donglin Zeng
7. Anastasios A. Tsiatis
8. Robert Tibshirani
9. Bibhas Chakraborty
10. Erica E. Moodie

Who trusts Yuanjia Wang overall

1. Chao Yu
2. Xinkun Nie

Papers from Yuanjia Wang's perspective

Ordered by how strongly the researchers Yuanjia Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Optimal Structural Nested Models for Optimal Sequential Decisions
3. Estimating Individualized Treatment Rules Using Outcome Weighted Learning
4. A design for testing clinical strategies: biased adaptive within‐subject randomization
5. A Robust Method for Estimating Optimal Treatment Regimes
6. Support-Vector Networks
7. Marginal Mean Models for Dynamic Regimes
8. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
9. Semiparametric Theory and Missing Data
10. An experimental design for the development of adaptive treatment strategies

Their papers

• Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens (2018) — 95 citations
• Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens (2016) — 34 citations
• VARIABLE SELECTION AND PREDICTION WITH INCOMPLETE HIGH-DIMENSIONAL DATA (2016) — 52 citations
• Learning Optimal Individualized Treatment Rules from Electronic Health Record Data (2016) — 25 citations