World's Best Scientists 2026 revealed!
Eric J. Tchetgen Tchetgen

Eric J. Tchetgen Tchetgen

D-Index & Metrics

Mathematics

D-Index
55
Citations
12390
World Ranking
786
National Ranking
381

Overview

Eric J. Tchetgen Tchetgen is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the broader field of Mathematics with a specific focus on Statistics and Probability. They have made contributions to several subfields including Artificial Intelligence, Economics and Econometrics, Genetics, and Infectious Diseases.

The scientist's work addresses advanced technical topics primarily related to causal inference and statistical methodology. Key topics they have contributed to include:

  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Bayesian Modeling and Causal Inference
  • Genetic Associations and Epidemiology
  • HIV/AIDS Research and Interventions

Eric J. Tchetgen Tchetgen has coauthored extensively with several researchers, indicating collaborative work across various statistical and epidemiological topics. Frequent coauthors include:

  • Wang Miao
  • Xu Shi
  • Yifan Cui
  • Edgar Dobriban
  • Zhonghua Liu

Their research has appeared prominently in several publication venues, with a high number of works featured in repositories and journals focused on statistics and epidemiology, such as:

  • arXiv (Cornell University)
  • Biometrics
  • Journal of the American Statistical Association
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • bioRxiv (Cold Spring Harbor Laboratory)

Among selected recent papers, the following stand out for their focus on causal inference methods and epidemiological study designs:

  • "A Selective Review of Negative Control Methods in Epidemiology," 2020, Current Epidemiology Reports
  • "A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity," 2020, Journal of the American Statistical Association
  • "Semiparametric Proximal Causal Inference," 2023, Journal of the American Statistical Association
  • "Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness," 2023, Journal of the American Statistical Association
  • "A Selective Review of Negative Control Methods in Epidemiology," 2020, arXiv (Cornell University)

Best Publications

  • Negative controls: a tool for detecting confounding and bias in observational studies.

    Marc Lipsitch;Eric Joel Tchetgen Tchetgen;Ted Cohen

  • Methodological challenges in Mendelian randomization

    Tyler J. VanderWeele;Eric J. Tchetgen Tchetgen;Marilyn Cornelis;Peter Kraft

  • On causal inference in the presence of interference.

    Eric J Tchetgen Tchetgen;Tyler J VanderWeele

  • Credible Mendelian Randomization Studies: Approaches for Evaluating the Instrumental Variable Assumptions

    M. Maria Glymour;Eric J. Tchetgen Tchetgen;James M. Robins

  • Semiparametric Theory for Causal Mediation Analysis: efficiency bounds, multiple robustness, and sensitivity analysis

    Eric J. Tchetgen Tchetgen;Ilya Shpitser

  • Mediation analysis with time varying exposures and mediators

    Tyler J. VanderWeele;Eric J. Tchetgen Tchetgen

  • Multiple Imputation for Incomplete Data in Epidemiologic Studies

    Ofer Harel;Emily M Mitchell;Neil J Perkins;Stephen R Cole

  • A causal framework for classical statistical estimands in failure-time settings with competing events

    Jessica G. Young;Mats J. Stensrud;Mats J. Stensrud;Eric J. Tchetgen Tchetgen;Miguel A. Hernán;Miguel A. Hernán

  • Principled Approaches to Missing Data in Epidemiologic Studies.

    Neil J Perkins;Stephen R Cole;Ofer Harel;Eric J Tchetgen Tchetgen

  • Contribution of Socioeconomic Status at 3 Life-Course Periods to Late-Life Memory Function and Decline: Early and Late Predictors of Dementia Risk.

    Jessica R. Marden;Eric J. Tchetgen Tchetgen;Ichiro Kawachi;M. Maria Glymour

  • Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder.

    Wang Miao;Zhi Geng;Eric J Tchetgen Tchetgen

  • Instrumental variable estimation in a survival context.

    Eric J. Tchetgen Tchetgen;Stefan Walter;Stijn Vansteelandt;Torben Martinussen

  • Practical Guidance for Conducting Mediation Analysis With Multiple Mediators Using Inverse Odds Ratio Weighting

    Quynh C. Nguyen;Theresa L. Osypuk;Nicole M. Schmidt;M. Maria Glymour

  • Inverse Odds Ratio-Weighted Estimation for Causal Mediation Analysis

    Eric J. Tchetgen Tchetgen

  • Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals

    Issa J. Dahabreh;Sarah E. Robertson;Eric J. Tchetgen;Elizabeth A. Stuart

  • Higher order influence functions and minimax estimation of nonlinear functionals

    J. Robins;L. Li;E. Tchetgen;A.W. van der Vaart

  • The relationship between neighborhood poverty and alcohol use: estimation by marginal structural models.

    Magdalena Cerdá;Ana V. Diez-Roux;Eric Tchetgen Tchetgen;Penny Gordon-Larsen

  • A Selective Review of Negative Control Methods in Epidemiology.

    Xu Shi;Wang Miao;Eric Tchetgen Tchetgen

  • Genetic Variants on 15q25.1, Smoking, and Lung Cancer: An Assessment of Mediation and Interaction

    Tyler J. VanderWeele;Kofi Asomaning;Eric J. Tchetgen Tchetgen;Younghun Han

  • Effect of reductions in amyloid levels on cognitive change in randomized trials: instrumental variable meta-analysis.

    Sarah F Ackley;Scott C Zimmerman;Willa D Brenowitz;Eric J Tchetgen Tchetgen

  • Higher order influence functions and minimax estimation of nonlinear functionals

    James Robins;Lingling Li;Eric Tchetgen;Aad van der Vaart

Frequent Co-Authors

M. Maria Glymour
M. Maria Glymour Boston University
James M. Robins
James M. Robins Harvard University
Ichiro Kawachi
Ichiro Kawachi Harvard University
Tyler J. VanderWeele
Tyler J. VanderWeele Harvard University
Marilyn C. Cornelis
Marilyn C. Cornelis Northwestern University
Laura D. Kubzansky
Laura D. Kubzansky Harvard University
Theresa L. Osypuk
Theresa L. Osypuk University of Minnesota
Eric B. Rimm
Eric B. Rimm Harvard University
Peter Kraft
Peter Kraft Harvard University
Joel Schwartz
Joel Schwartz Harvard University

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