Fabrizia Mealli

Statistics and Probability · 2005–2015

A researcher in the Science corpus: 9 papers; trusts 59 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 96 citations into it; #2,516 of 12,932 by trust here, #3,038 by citations
• Causal Inference & Discovery — 26 citations into it
• Economics and Econometrics — 24 citations into it; #3,315 of 23,481 by trust here, #6,146 by citations
• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Education — 7 citations into it
• Optimization & Training — 7 citations into it
• Management Science and Operations Research — 6 citations into it; #5,679 of 11,946 by trust here, #8,906 by citations

Whom Fabrizia Mealli trusts overall

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

1. Donald B. Rubin
2. Guido W. Imbens
3. Paul R. Rosenbaum
4. Charles F. Manski
5. David S. Lee
6. Kosuke Imai
7. Junni L. Zhang
8. C. Frangakis
9. Joshua D. Angrist
10. James M. Robins

Who trusts Fabrizia Mealli overall

1. Peng Ding
2. Zhichao Jiang
3. Lindsay C. Page
4. Jiannan Lu
5. Marco Caliendo
6. M. Maertens
7. Brian P. An
8. Avi Feller
9. Martin Binder
10. Zhi Geng

Papers from Fabrizia Mealli's perspective

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

1. [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
2. The central role of the propensity score in observational studies for causal effects
3. Statistics and Causal Inference
4. Estimating causal effects of treatments in randomized and nonrandomized studies.
5. Principal Stratification in Causal Inference
6. Bounds on Treatment Effects from Studies with Imperfect Compliance
7. Identifiability and Exchangeability for Direct and Indirect Effects
8. Identification of Causal effects Using Instrumental Variables
9. Surrogate endpoints in clinical trials: definition and operational criteria.
10. INFERENCE AND MISSING DATA

Their papers

• A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference (2011) — 81 citations
• Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification (2009) — 133 citations
• From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and Their Sensitivity? (2008) — 707 citations
• ‘Clarifying missing at random and related definitions, and implications when coupled with exchangeability’ (2015) — 97 citations
• Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance (2013) — 97 citations
• Nonparametric Bounds on the Causal Effect of University Studies on Job Opportunities Using Principal Stratification (2008) — 51 citations
• Augmented designs to assess principal strata direct effects (2011) — 50 citations
• Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (2013) — 52 citations
• Temporary Work Agencies in Italy: A Springboard Toward Permanent Employment? (2005) — 130 citations