E. Tchetgen

C. Contreras, T. Cohen, R. Calderón, 2014, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable

E. Tchetgen, Baoluo Sun, Yifan Cui, 2019, J. Mach. Learn. Res..

Semiparametric proximal causal inference

Hongming Pu, W. Miao, E. Tchetgen, 2020, 2011.08411.

End-to-End Balancing for Causal Continuous Treatment-Effect Estimation

D. Heckerman, M. T. Bahadori, E. Tchetgen, 2021, ICML.

University of Pennsylvania 11th annual conference on statistical issues in clinical trials: Estimands, missing data and sensitivity analysis (afternoon panel session)

R. Little, A. Troxel, E. Tchetgen, 2019, Clinical trials.

GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments

E. Tchetgen, T. Ye, Zhonghua Liu, 2021, 2107.06238.

Variable selection in regression - estimation, prediction,sparsity, inference

Xiaochun Li, Jaroslaw Harezlak, Eric Tchetgen, 2009 .

CD4+ cell count, viral load, and highly active antiretroviral therapy use are independent predictors of body composition alterations in HIV-infected adults: a longitudinal study.

N. Terrin, E. Tchetgen, A. McDermott, 2005, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Doubly Robust Regression Analysis for Data Fusion

Eric J. Tchetgen Tchetgen, BaoLuo Sun, Katherine Evans, 2018, Statistica Sinica.

Lack of Virological Suppression Among Young HIV-Positive Adults in Botswana

S. Lockman, M. Essex, E. Tchetgen, 2018, Journal of acquired immune deficiency syndromes.

The Association of Meningococcal Disease with Influenza in the United States, 1989–2009

Cécile Viboud, Joel Schwartz, Marc Lipsitch, 2014, PloS one.

Weight loss and body-composition changes in men and women infected with HIV.

D. Spiegelman, E. Tchetgen, S. Gorbach, 2002, The American journal of clinical nutrition.

Weight loss and survival in HIV-positive patients in the era of highly active antiretroviral therapy.

D. Spiegelman, E. Tchetgen, S. Gorbach, 2002, Journal of acquired immune deficiency syndromes.

Difficulty swallowing and lack of receipt of highly active antiretroviral therapy predict acute weight loss in human immunodeficiency virus disease.

D. Spiegelman, I. Wilson, D. Jacobson, 2003, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

HIGHER ORDER ESTIMATING EQUATIONS FOR HIGH-DIMENSIONAL MODELS.

A. W. van der Vaart, Eric Tchetgen Tchetgen, James Robins, 2015, Annals of statistics.

A Confounding Bridge Approach for Double Negative Control Inference on Causal Effects (Supplement and Sample Codes are included)

W. Miao, E. Tchetgen, Wang Miao, 2018, 1808.04945.

Role of cytokines and testosterone in regulating lean body mass and resting energy expenditure in HIV-infected men.

D. Spiegelman, R. Roubenoff, S. Grinspoon, 2002, American journal of physiology. Endocrinology and metabolism.

Weight loss and body-composition changes in men and women infected with HIV 1–3

D. Spiegelman, E. Tchetgen, S. Gorbach, 2002 .

New statistical approaches to semiparametric regression with application to air pollution research.

A. W. van der Vaart, J. Robins, T. Lumley, 2013, Research report.

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

Ilya Shpitser, Eric J Tchetgen Tchetgen, I. Shpitser, 2012, Annals of statistics.

Generalized interpretation and identification of separable effects in competing event settings.

Jessica G. Young, J. Robins, V. Didelez, 2020, 2004.14824.

Conditional separable effects

Jessica G. Young, J. Robins, E. Tchetgen, 2020, 2006.15681.

Selective machine learning of doubly robust functionals.

E. Tchetgen, Y. Cui, Yifan Cui, 2019 .

Bias-aware model selection for machine learning of doubly robust functionals

E. Tchetgen, Y. Cui, Yifan Cui, 2019 .

Comment on “Blessings of Multiple Causes”

Eric J. Tchetgen Tchetgen, Elizabeth L. Ogburn, Ilya Shpitser, 2019, Journal of the American Statistical Association.

Multiply Robust Learning of the Average Treatment Effect with an Invalid Instrumental Variable

Eric J. Tchetgen Tchetgen, BaoLuo Sun, E. Tchetgen, 2019 .

The generalized front-door criterion for estimation of indirect causal effects of a confounded treatment

I. Shpitser, E. Tchetgen, I. Fulcher, 2017 .

MINIMAX ESTIMATION OF A FUNCTIONAL ON A STRUCTURED

James M. Robins, Eric J. Tchetgen Tchetgen, Aad van der Vaart, 2016 .

Identification, Doubly Robust Estimation, and Semiparametric Efficiency Theory of Nonignorable Missing Data With a Shadow Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment

S. Lorch, E. Tchetgen, H. Michael, 2020, Journal of the American Statistical Association.

Learning Causal Hazard Ratio with Endogeneity

S. Vansteelandt, T. Martinussen, E. Tchetgen, 2018 .

Alternative Identification and Inference for the Effect of Treatment on the Treated with an Instrumental Variable

Eric J. Tchetgen Tchetgen, Stijn Vansteelandt, S. Vansteelandt, 2013 .

Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals

I. Shpitser, AmirEmad Ghassami, E. Tchetgen, 2021, AISTATS.

A Cautionary Note on Specification of the Correlation Structure in Inverse-Probability-Weighted Estimation for Repeated Measures

James M. Robins, Eric J. Tchetgen Tchetgen, Jennifer Weuve, 2012 .

On Partial Identification of the Pure Direct Effect

Eric J. Tchetgen Tchetgen, Seema Meloni, Phyllis Kanki, 2015, 1509.01652.

The choice to define competing risk events as censoring events and implications for causal inference

Eric J. Tchetgen Tchetgen, Miguel A. Hernán, Jessica G. Young, 2018 .

A coherent likelihood parametrization for doubly robust estimation of a causal effect with missing confounders

Eric J. Tchetgen Tchetgen, Katherine Evans, Isabel Fulcher, 2020, 2007.10393.

Quadratic semiparametric Von Mises calculus

James Robins, Eric Tchetgen, J. Robins, 2009, Metrika.

The Proximal ID Algorithm

I. Shpitser, E. Tchetgen, Zach Wood-Doughty, 2021, J. Mach. Learn. Res..

Minimax estimation of the integral of a power of a density.

A. W. van der Vaart, James Robins, Eric Tchetgen, 2008, Statistics & probability letters.

Implementation of Instrumental Variable Bounds for Data Missing Not at Random

Stefan Walter, Kathleen E Wirth, Linbo Wang, 2018, Epidemiology.

Robust inference with higher order influence functions: Part I, Part II

J. Robins, E. Tchetgen, Lingling Li, 2005 .

Modeling Interference Via Symmetric Treatment Decomposition

Ilya Shpitser, Eric Tchetgen Tchetgen, I. Shpitser, 2017, 1709.01050.

Semiparametric Estimation of Models for Natural Direct and Indirect E ¤ ects by

Eric J. Tchetgen Tchetgen, Ilya Shpitser, I. Shpitser, 2016 .

Higher order influence functions and minimax estimation of nonlinear functionals

J. Robins, E. Tchetgen, Lingling Li, 2008, 0805.3040.

Selective machine learning of doubly robust functionals.

E. Tchetgen, Yifan Cui, 2019, 1911.02029.

Asymptotic Normality of Quadratic Estimators.

J. Robins, A. van der Vaart, E. Tchetgen, 2015, Stochastic processes and their applications.

Higher Order Estimating Equations for High-dimensional Models

J. Robins, A. Vaart, R. Mukherjee, 2015, 1512.02174.

Determinants of condom use among antenatal clinic attendees in Dar es Salaam, Tanzania.

W. Fawzi, D. Spiegelman, S. Kapiga, 2010, East African journal of public health.

Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach

E. Tchetgen, H. Michael, Yifan Cui, 2018, 1809.05422.

The Control Outcome Calibration Approach for Causal Inference With Unobserved Confounding

Eric J. Tchetgen Tchetgen, E. Tchetgen, 2014 .