Fan Li
Statistics and Probability · American Journal of Epidemiology · 2011–2020
A researcher in the Science corpus: 7 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 75 citations into it; #4,747 of 12,932 by trust here, #3,703 by citations
- Causal Inference & Discovery — 26 citations into it
- Economics and Econometrics — 15 citations into it
- Artificial Intelligence — 10 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Education — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Fan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Guido W. Imbens
- James M. Robins
- Keisuke Hirano
- Paul R. Rosenbaum
- Alberto Abadie
- Kosuke Imai
- Joshua D. Rauh
- Jinyong Hahn
- R. Shanmugam
Who trusts Fan Li overall
- Qingyuan Zhao
- Yixin Wang
- Peng Ding
- Paul Goldsmith-Pinkham
- Shu Yang
- N. Chesnaye
- José R. Zubizarreta
- Zhichao Jiang
- Peter Hull
- Eli Ben-Michael
Papers from Fan Li's perspective
Ordered by how strongly the researchers Fan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- [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.
- Statistics and Causal Inference
- The Economic Costs of Conflict: A Case Study of the
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- The Role of the Propensity Score in Estimating Dose-Response Functions
- Marginal Structural Models and Causal Inference in Epidemiology
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Efficient estimation of average treatment effects using the estimated propensity score
Their papers
- Balancing Covariates via Propensity Score Weighting (2014) — 998 citations
- A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference (2011) — 81 citations
- Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (2013) — 52 citations
- A Bracketing Relationship between Difference-in-Differences and Lagged-Dependent-Variable Adjustment (2019) — 78 citations
- Addressing Extreme Propensity Scores via the Overlap Weights (2018) — 708 citations
- Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial. (2020) — 632 citations
- A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds (2019) — 66 citations