Leaderboards/Advanced Causal Inference Techniques

Advanced Causal Inference Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Kirill Borusyak
University of California, Berkeley
2
Alberto Abadie
John F. Kennedy University
3
Alice R Carter
Bristol City Council
4
Ashesh Rambachan
Moscow Institute of Thermal Technology
5
Nicholas C Chesnaye
Amsterdam Neuroscience
6
Eleanor Sanderson
University of Bristol
7
Carlos Cinelli
University of California, Los Angeles
8
Levi Kumle
Goethe University Frankfurt
9
Liuyi Yao
Alibaba Group (China)
10
Jean Digitale
University of California, San Francisco

Rising Stars Papers

1
Revisiting Event-Study Designs: Robust and Efficient Estimation
The Review of Economic Studies|2024
1.8k cit.
2
A Practical Guide to Shift-Share Instruments
The Journal of Economic Perspectives|2025
108 cit.
3
Sensemakr: Sensitivity Analysis Tools for OLS in R and Stata
Observational Studies|2024
54 cit.
4
Non-linear relationships in clinical research
Nephrology Dialysis Transplantation|2024
39 cit.
5
Identifying Prediction Mistakes in Observational Data
The Quarterly Journal of Economics|2024
31 cit.
6
Mammographic density mediates the protective effect of early-life body size on breast cancer risk
Nature Communications|2024
17 cit.
7
Correct illustration of assumptions in Mendelian randomization
International Journal of Epidemiology|2024
16 cit.
8
An omitted variable bias framework for sensitivity analysis of instrumental variables
Biometrika|2025
14 cit.
9
Multivariable MR Can Mitigate Bias in Two‐Sample MR Using Covariable‐Adjusted Summary Associations
Genetic Epidemiology|2025
11 cit.
10
The Unreasonable Effectiveness of Algorithms
AEA Papers and Proceedings|2024
9 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Ricardo A. Bello-Gómez
Indiana University Bloomington
2
Jonathan Roth
John Brown University
3
Jun B. Zhao
Vanderbilt University
4
Stephen L. Morgan
Johns Hopkins University
5
Xinwei Ma
Hebei University of Technology
6
Katrina J. Scurrah
The University of Melbourne
7
Matti Vuorre
Tilburg University
8
Lucas Janson
Harvard University
9
Maya B. Mathur
Stanford University
10
Dejan Draschkow
University of Oxford

Emerging Leaders Papers

1
What’s trending in difference-in-differences? A synthesis of the recent econometrics literature
Journal of Econometrics|2023
1.7k cit.
2
A More Credible Approach to Parallel Trends
The Review of Economic Studies|2023
1.2k cit.
3
Pretest with Caution: Event-Study Estimates after Testing for Parallel Trends
American Economic Review Insights|2022
698 cit.
4
When Is Parallel Trends Sensitive to Functional Form?
Econometrica|2023
127 cit.
5
Time spent playing video games is unlikely to impact well-being
Royal Society Open Science|2022
97 cit.
6
Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use
Campbell Systematic Reviews|2022
53 cit.
7
Toward Open and Reproducible Epidemiology
American Journal of Epidemiology|2023
38 cit.
8
Remote virtual reality as a tool for increasing external validity
Nature Reviews Psychology|2022
33 cit.
9
Estimating the association between Facebook adoption and well-being in 72 countries
Royal Society Open Science|2023
28 cit.
10
Global Well-Being and Mental Health in the Internet Age
Clinical Psychological Science|2023
28 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Donald B. Rubin
Tsinghua University
2
James M. Robins
Harvard University
3
Guido W. Imbens
Harvard University
4
Andrew F. Hayes
University of Calgary
5
Elizabeth A. Stuart
Johns Hopkins University
6
Niall Bolger
University of York
7
Sendhil Mullainathan
National Bureau of Economic Research
8
Angela Wood
University of Cambridge
9
Miguel A. Hernán
Harvard University
10
Jason Williams
Dalhousie University

Current Senior Leaders Papers

1
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1977
49.7k cit.
2
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
Behavior Research Methods|2008
32.7k cit.
3
The central role of the propensity score in observational studies for causal effects
Biometrika|1983
31k cit.
4
Statistical Analysis With Missing Data
Journal of the American Statistical Association|1989
17.5k cit.
5
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Behavior Research Methods, Instruments, & Computers|2004
17.2k cit.
6
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
7
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Psychological Methods|2002
10.9k cit.
8
How Much Should We Trust Differences-In-Differences Estimates?
The Quarterly Journal of Economics|2004
10.6k cit.
9
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Multivariate Behavioral Research|2007
9.8k cit.
10
Inference and missing data
Biometrika|1976
9.7k cit.

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