Andrea Rotnitzky

Andrea Rotnitzky

Universidad Torcuato di Tella

H-index: 51

Latin America-Argentina

About Andrea Rotnitzky

Andrea Rotnitzky, With an exceptional h-index of 51 and a recent h-index of 32 (since 2020), a distinguished researcher at Universidad Torcuato di Tella, specializes in the field of Statistics, Biostatistics.

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

Variable elimination, graph reduction and the efficient g-formula

A note on efficient minimum cost adjustment sets in causal graphical models

Efficient adjustment sets in causal graphical models with hidden variables

Characterization of parameters with a mixed bias property

Efficient estimation of optimal regimes under a no direct effect assumption

Efficient adjustment sets for population average causal treatment effect estimation in graphical models

Double-robust and efficient methods for estimating the causal effects of a binary treatment

Andrea Rotnitzky Information

University

Position

Professor and Adjunct Professor of Biostatistics Harvard University

Citations(all)

22743

Citations(since 2020)

7397

Cited By

18617

hIndex(all)

51

hIndex(since 2020)

32

i10Index(all)

80

i10Index(since 2020)

63

Email

University Profile Page

Universidad Torcuato di Tella

Google Scholar

View Google Scholar Profile

Andrea Rotnitzky Skills & Research Interests

Statistics

Biostatistics

Top articles of Andrea Rotnitzky

Title

Journal

Author(s)

Publication Date

Variable elimination, graph reduction and the efficient g-formula

Biometrika

F Richard Guo

Emilija Perković

Andrea Rotnitzky

2023/9/1

A note on efficient minimum cost adjustment sets in causal graphical models

Journal of Causal Inference

Ezequiel Smucler

Andrea Rotnitzky

2022/7/14

Efficient adjustment sets in causal graphical models with hidden variables

Biometrika

Ezequiel Smucler

Facundo Sapienza

Andrea Rotnitzky

2022/3/1

Characterization of parameters with a mixed bias property

Biometrika

Andrea Rotnitzky

Ezequiel Smucler

James M Robins

2021/3/1

Efficient estimation of optimal regimes under a no direct effect assumption

Journal of the American Statistical Association

Lin Liu

Zach Shahn

James M Robins

Andrea Rotnitzky

2021/1/2

Efficient adjustment sets for population average causal treatment effect estimation in graphical models

Journal of Machine Learning Research

Andrea Rotnitzky

Ezequiel Smucler

2020

Double-robust and efficient methods for estimating the causal effects of a binary treatment

arXiv preprint arXiv:2008.00507

James Robins

Mariela Sued

Quanhong Lei-Gomez

Andrea Rotnitzky

2020/8/2

See List of Professors in Andrea Rotnitzky University(Universidad Torcuato di Tella)

Co-Authors

H-index: 131
James M. Robins

James M. Robins

Harvard University

H-index: 49
Daniel Scharfstein

Daniel Scharfstein

Johns Hopkins University

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