Irina Degtiar

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 38 citations into it; #9,783 of 12,932 by trust here, #12,603 by citations
• Economics and Econometrics — 13 citations into it
• Causal Inference & Discovery — 11 citations into it
• Artificial Intelligence — 9 citations into it
• General Health Professions — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Irina Degtiar 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. J. Lunceford
10. Donald P. Green

Who trusts Irina Degtiar overall

1. V. Subbiah

Papers from Irina Degtiar's perspective

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

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

Their papers

• A Review of Generalizability and Transportability (2021) — 343 citations