Iván Díaz

Iván Díaz

Cornell University

H-index: 32

North America-United States

About Iván Díaz

Iván Díaz, With an exceptional h-index of 32 and a recent h-index of 27 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Statistics, Semiparametric inference, Missing data, Survival analysis, Causal inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using instrumental variables to address unmeasured confounding in causal mediation analysis

Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment

Effect of Paxlovid Treatment on Long COVID Onset: An EHR-Based Target Trial Emulation from N3C

Estimating Causal Effects Identifiable from a Combination of Observations and Experiments

Nonparametric efficient causal mediation with intermediate confounders (vol 108, pg 627, 2021)

Causal survival analysis under competing risks using longitudinal modified treatment policies

Recanting twins: addressing intermediate confounding in mediation analysis

Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among medicaid patients

Iván Díaz Information

University

Position

Assistant Professor, Weill Cornell Medicine

Citations(all)

4269

Citations(since 2020)

3873

Cited By

1024

hIndex(all)

32

hIndex(since 2020)

27

i10Index(all)

65

i10Index(since 2020)

62

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Iván Díaz Skills & Research Interests

Statistics

Semiparametric inference

Missing data

Survival analysis

Causal inference

Top articles of Iván Díaz

Title

Journal

Author(s)

Publication Date

Using instrumental variables to address unmeasured confounding in causal mediation analysis

Biometrics

Kara E Rudolph

Nicholas Williams

Iván Díaz

2024/3

Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment

arXiv preprint arXiv:2404.11150

Kelly Van Lancker

Iván Díaz

Stijn Vansteelandt

2024/4/17

Effect of Paxlovid Treatment on Long COVID Onset: An EHR-Based Target Trial Emulation from N3C

medRxiv

Alexander Preiss

Abhishek Bhatia

Chengxi Zang

Leyna V Aragon

John M Baratta

...

2024

Estimating Causal Effects Identifiable from a Combination of Observations and Experiments

Advances in Neural Information Processing Systems

Yonghan Jung

Iván Díaz

Jin Tian

Elias Bareinboim

2024/2/13

Nonparametric efficient causal mediation with intermediate confounders (vol 108, pg 627, 2021)

Biometrika

Iván Díaz

Nima S Hejazi

Kara E Rudolph

Mark J van Der Laan

2021/9/1

Causal survival analysis under competing risks using longitudinal modified treatment policies

Lifetime Data Analysis

Iván Díaz

Katherine L Hoffman

Nima S Hejazi

2024/1

Recanting twins: addressing intermediate confounding in mediation analysis

arXiv preprint arXiv:2401.04450

Tat-Thang Vo

Nicholas Williams

Richard Liu

Kara E Rudolph

Ivan Dıaz

2024/1/9

Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among medicaid patients

Psychological medicine

Katherine L Hoffman

Floriana Milazzo

Nicholas T Williams

Hillary Samples

Mark Olfson

...

2024/5

Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders

Biostatistics

Kara E Rudolph

Nicholas T Williams

Ivan Diaz

2024/4/4

Two-step targeted minimum-loss based estimation for non-negative two-part outcomes

arXiv preprint arXiv:2401.04263

Nicholas T Williams

Richard Liu

Katherine L Hoffman

Sarah Forrest

Kara E Rudolph

...

2024/1/8

Identification and estimation of causal effects using non-concurrent controls in platform trials

arXiv preprint arXiv:2304.14895

Kang Shuai

Shanshan Luo

Yue Zhang

Feng Xie

Yangbo He

2023/4/28

Non-agency interventions for causal mediation in the presence of intermediate confounding

arXiv preprint arXiv:2205.08000

Iván Díaz

2022/5/16

Causal inference for social network data

Journal of the American Statistical Association

Elizabeth L Ogburn

Oleg Sofrygin

Ivan Diaz

Mark J Van der Laan

2024/1/2

Identification and estimation of mediational effects of longitudinal modified treatment policies

arXiv preprint arXiv:2403.09928

Brian Gilbert

Katherine L Hoffman

Nicholas Williams

Kara E Rudolph

Edward J Schenck

...

2024/3/15

Associations between pain-management treatments and opioid use disorder risk among Medicaid patients

arXiv preprint arXiv:2404.11802

Kara E Rudolph

Nicholas T Williams

Ivan Diaz

Sarah Forrest

Katherine L Hoffman

...

2024/4/17

Rudolph et al. Respond to “Mathematization of Epidemiology”

American Journal of Epidemiology

Kara E Rudolph

Nicholas T Williams

Iván Díaz

Sean X Luo

John Rotrosen

...

2023/5

All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples

Journal of Causal Inference

Kara E Rudolph

Nicholas T Williams

Caleb H Miles

Joseph Antonelli

Ivan Diaz

2023/11/27

Effect of sepsis on death as modified by solid organ transplantation

Open Forum Infectious Diseases

Kevin S Ackerman

Katherine L Hoffman

Iván Díaz

Will Simmons

Karla V Ballman

...

2023/4/1

A causal roadmap for generating high-quality real-world evidence

Lauren E Dang

Susan Gruber

Hana Lee

Issa J Dahabreh

Elizabeth A Stuart

...

2023/1

Optimally choosing medication type for patients with opioid use disorder

American Journal of Epidemiology

Kara E Rudolph

Nicholas T Williams

Iván Díaz

Sean X Luo

John Rotrosen

...

2023/5

See List of Professors in Iván Díaz University(Cornell University)

Co-Authors

H-index: 90
Mark van der Laan

Mark van der Laan

University of California, Berkeley

H-index: 79
Alan HUBBARD

Alan HUBBARD

University of California, Berkeley

H-index: 75
Elizabeth Colantuoni

Elizabeth Colantuoni

Johns Hopkins University

H-index: 49
Daniel Scharfstein

Daniel Scharfstein

Johns Hopkins University

H-index: 32
Kara E Rudolph

Kara E Rudolph

Columbia University in the City of New York

H-index: 30
Elizabeth L. Ogburn

Elizabeth L. Ogburn

Johns Hopkins University

academic-engine