José R. Zubizarreta
Statistics and Probability · 2014–2021
A researcher in the Science corpus: 10 papers; trusts 102 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 145 citations into it; #576 of 12,932 by trust here, #1,989 by citations
- Causal Inference & Discovery — 29 citations into it; #55 of 364 by trust here, #179 by citations
- Economics and Econometrics — 20 citations into it
- Management Science and Operations Research — 15 citations into it
- Artificial Intelligence — 12 citations into it
- Statistical Learning Theory — 11 citations into it
- Education — 10 citations into it; #2,428 of 11,309 by trust here, #6,846 by citations
- Probabilistic & Bayesian Methods — 10 citations into it
Whom José R. Zubizarreta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Paul R. Rosenbaum
- Guido W. Imbens
- James M. Robins
- Elizabeth A. Stuart
- Qingyuan Zhao
- Alberto Abadie
- Nathan Kallus
- Jinyong Hahn
- Ben B. Hansen
Who trusts José R. Zubizarreta overall
- Cynthia Rudin
- Marco Morucci
- Susan Athey
- Paul R. Rosenbaum
- Luke Keele
- Sudeepa Roy
- Nathan Kallus
- Qingyuan Zhao
- Harsh Parikh
- M. Resa
Papers from José R. Zubizarreta's perspective
Ordered by how strongly the researchers José R. Zubizarreta 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
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Regression Shrinkage and Selection via the Lasso
- Statistics and Causal Inference
- [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
- Efficient estimation of average treatment effects using the estimated propensity score
- Observational Studies
- Approximate residual balancing: debiased inference of average treatment effects in high dimensions
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
Their papers
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data (2015) — 437 citations
- Journal of the American Statistical Association Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery — 238 citations
- Matching for Balance, Pairing for Heterogeneity in an Observational Study of the Effectiveness of For-Profit and Not-For-Profit High Schools in Chile (2014) — 136 citations
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations (2017) — 129 citations
- Evaluation of subset matching methods and forms of covariate balance (2016) — 57 citations
- The Balancing Act in Causal Inference (2021) — 72 citations
- Matching for Balance (2019)
- Approximate Balancing Weights: Characterizations from a Shrinkage Estimation Perspective (2017) — 7 citations
- Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System (2014) — 62 citations
- Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the School Voucher System in Chile (2014) — 8 citations