Min Lu
Statistics and Probability · with Feaster · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 12 citations into it; #7,741 of 12,932 by trust here, #9,233 by citations
- Causal Inference & Discovery — 7 citations into it
Whom Min Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Jennifer L. Hill
- Hemant Ishwaran
- Hugh A. Chipman
- Jared C. Foster
- Xiaogang Su
- Edward I. George
- Udaya B. Kogalur
- Chih-Ling Tsai
Who trusts Min Lu overall
Papers from Min Lu's perspective
Ordered by how strongly the researchers Min Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Bayesian Nonparametric Modeling for Causal Inference
- Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
- The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
- Subgroup Analysis via Recursive Partitioning
- BART: Bayesian Additive Regression Trees
- Random survival forests
- Subgroup identification from randomized clinical trial data
- Efficient estimation of average treatment effects using the estimated propensity score
Their papers
- Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods (2017) — 160 citations