Sherri Rose

Statistics and Probability · 2011–2021

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 47 citations into it; #1,289 of 12,932 by trust here, #2,108 by citations
• Artificial Intelligence — 34 citations into it; #4,798 of 35,345 by trust here, #9,760 by citations
• Economics and Econometrics — 16 citations into it
• Causal Inference & Discovery — 13 citations into it; #63 of 364 by trust here, #86 by citations
• General Health Professions — 11 citations into it
• Sociology and Political Science — 9 citations into it
• Gender Studies — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Sherri Rose trusts overall

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

1. Judea Pearl
2. Elias Bareinboim
3. Donald B. Rubin
4. Elizabeth A. Stuart
5. Stephen R. Cole
6. Jennifer L. Hill
7. Elizabeth Tipton
8. Susan Athey
9. Guido W. Imbens
10. J. Lunceford

Who trusts Sherri Rose overall

1. Iv'an D'iaz
2. Edward H. Kennedy
3. Victor Chernozhukov
4. Susan Athey
5. Nima S. Hejazi
6. V. Subbiah
7. Qingyuan Zhao
8. Fang Liu
9. Alexander Luedtke
10. Karel Vermeulen

Papers from Sherri Rose's perspective

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

1. Estimating causal effects of treatments in randomized and nonrandomized studies.
2. Causality : Models , Reasoning , and Inference
3. Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial.
4. The central role of the propensity score in observational studies for causal effects
5. Sample selection bias as a specification error
6. [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
7. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
8. Causal inference and the data-fusion problem
9. Transportability of Causal and Statistical Relations: A Formal Approach
10. Fairness through awareness

Their papers

• Targeted Learning: Causal Inference for Observational and Experimental Data (2011) — 1,408 citations
• Ethical Machine Learning in Healthcare (2020) — 577 citations
• Targeted Learning in Data Science. Causal Inference for Complex Longitudinal Studies. (2018) — 251 citations
• A Review of Generalizability and Transportability (2021) — 343 citations