E. T. Tchetgen Tchetgen

Statistics and Probability · 2008–2018

A researcher in the Science corpus: 17 papers; trusts 48 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 174 citations into it; #833 of 12,932 by trust here, #747 by citations
• Causal Inference & Discovery — 63 citations into it; #199 of 364 by trust here, #277 by citations
• Management Science and Operations Research — 24 citations into it
• Artificial Intelligence — 23 citations into it; #17,231 of 35,345 by trust here, #20,836 by citations
• Economics and Econometrics — 15 citations into it; #19,803 of 23,481 by trust here, #19,308 by citations
• Probabilistic & Bayesian Methods — 15 citations into it
• Experimental and Cognitive Psychology — 9 citations into it
• Sociology and Political Science — 8 citations into it

Whom E. T. Tchetgen Tchetgen trusts overall

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

1. James M. Robins
2. Judea Pearl
3. Ilya Shpitser
4. Donald B. Rubin
5. David P. MacKinnon
6. Anastasios A. Tsiatis
7. Kosuke Imai
8. Zhiqiang Tan
9. Jinyong Hahn
10. Thomas S. Richardson

Who trusts E. T. Tchetgen Tchetgen overall

1. Edward H. Kennedy
2. Ilya Shpitser
3. Stijn Vansteelandt
4. Tyler J. VanderWeele
5. Razieh Nabi
6. Caleb H. Miles
7. Karel Vermeulen
8. Markus Frölich
9. Elizabeth L. Ogburn
10. Lan Liu

Papers from E. T. Tchetgen Tchetgen's perspective

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

1. Estimating causal effects of treatments in randomized and nonrandomized studies.
2. Statistics and Causal Inference
3. Bayesian Inference for Causal Effects: The Role of Randomization
4. Direct and Indirect Effects
5. The central role of the propensity score in observational studies for causal effects
6. Direct and Indirect Causal Effects via Potential Outcomes *
7. Optimal Structural Nested Models for Optimal Sequential Decisions
8. INFERENCE AND MISSING DATA
9. Marginal Structural Models and Causal Inference in Epidemiology
10. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9

Their papers

• Higher order influence functions and minimax estimation of nonlinear functionals (2008) — 265 citations
• Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder (2016) — 385 citations
• On causal inference in the presence of interference (2010) — 505 citations
• Semiparametric Minimax Rates (2009) — 64 citations
• Higher Order Inference On A Treatment Effect Under Low Regularity Conditions (2011) — 41 citations
• Semiparametric Theory for Causal Mediation Analysis: efficiency bounds, multiple robustness, and sensitivity analysis (2012) — 326 citations
• A confounding bridge approach for double negative control inference on causal effects (2018) — 95 citations
• Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies (2010) — 1,341 citations
• HIGHER ORDER ESTIMATING EQUATIONS FOR HIGH-DIMENSIONAL MODELS (2017) — 11 citations
• On Partial Identification of the Pure Direct Effect (2015) — 15 citations
• Methodological challenges in Mendelian randomization (2014) — 512 citations
• Estimation of a Semiparametric Natural Direct Effect Model Incorporating Baseline Covariates (2014) — 33 citations
• CAUSAL INFERENCE WITH A GRAPHICAL HIERARCHY OF INTERVENTIONS (2014) — 54 citations
• Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program (2014) — 29 citations
• MINIMAX ESTIMATION OF A FUNCTIONAL ON A STRUCTURED (2016)
• Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable (2015) — 10 citations
• Semiparametric Estimation of Models for Natural Direct and Indirect Effects (2011) — 32 citations