Leaderboards/Statistical Methods and Inference

Statistical Methods and Inference

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Alberto Abadie
John F. Kennedy University
2
Ashesh Rambachan
Moscow Institute of Thermal Technology
3
Tlamelo Emmanuel
Botswana Accountancy College
4
Nicholas C Chesnaye
Amsterdam Neuroscience
5
J. Kenneth Tay
Stanford Medicine
6
Carlos Cinelli
University of California, Los Angeles
7
Anne de Hond
University Medical Center Utrecht
8
Liuyi Yao
Alibaba Group (China)
9
Yuxin Zou
Regeneron (United States)
10
Stephen Bates
Massachusetts Institute of Technology

Rising Stars Papers

1
Sensemakr: Sensitivity Analysis Tools for OLS in R and Stata
Observational Studies|2024
54 cit.
2
Non-linear relationships in clinical research
Nephrology Dialysis Transplantation|2024
39 cit.
3
Identifying Prediction Mistakes in Observational Data
The Quarterly Journal of Economics|2024
31 cit.
4
Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study
JMIR Medical Informatics|2024
25 cit.
5
An omitted variable bias framework for sensitivity analysis of instrumental variables
Biometrika|2025
14 cit.
6
The Unreasonable Effectiveness of Algorithms
AEA Papers and Proceedings|2024
9 cit.
7
Design-Based Uncertainty for Quasi-Experiments
Journal of the American Statistical Association|2025
7 cit.
8
Large Language Models: An Applied Econometric Framework
SSRN Electronic Journal|2025
7 cit.
9
Causal assessment of CKD-MBD biomarker alterations on CKD progression through a g-formula analysis in the EQUAL study
Kidney International|2025
7 cit.
10
Critical COVID-19, Victivallaceae abundance, and celiac disease: A mediation Mendelian randomization study
PLoS ONE|2024
5 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Xinwei Ma
Hebei University of Technology
2
Jonathan Roth
John Brown University
3
Woodrow Burchett
Pfizer (United States)
4
Matthew D. Webb
Carleton University
5
Oteng Tabona
Botswana International University of Science and Technology
6
Liyang Sun
Northeast Petroleum University
7
Jun B. Zhao
Vanderbilt University
8
Tom Zylkin
University of Richmond
9
David Palma
University of Leeds
10
Joshua F. Wiley
Monash University

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
Cluster-robust inference: A guide to empirical practice
Journal of Econometrics|2022
302 cit.
5
When Is Parallel Trends Sensitive to Functional Form?
Econometrica|2023
127 cit.
6
Reworking wild bootstrap‐based inference for clustered errors
Canadian Journal of Economics/Revue canadienne d économique|2023
71 cit.
7
Fast and reliable jackknife and bootstrap methods for cluster‐robust inference
Journal of Applied Econometrics|2023
41 cit.
8
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
The Journal of Economic Perspectives|2022
37 cit.
9
Daily Relations Between Stress and Electroencephalography-Assessed Sleep: A 15-Day Intensive Longitudinal Design With Ecological Momentary Assessments
Annals of Behavioral Medicine|2022
33 cit.
10
Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust
The Stata Journal Promoting communications on statistics and Stata|2023
22 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Donald B. Rubin
Tsinghua University
2
Robert Tibshirani
Stanford University
3
Scott L. Zeger
Johns Hopkins University
4
Adrian E. Raftery
University of Washington
5
Donald Geman
Johns Hopkins University
6
Rob Tibshirani
Stanford University
7
Wayne A. Fuller
Iowa State University
8
Bengt Muthén
University of California, Los Angeles
9
A. R. Pagan
The University of Sydney
10
Runze Li
Tsinghua University

Current Senior Leaders Papers

1
Regression Shrinkage and Selection Via the Lasso
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1996
51.8k cit.
2
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.
3
The central role of the propensity score in observational studies for causal effects
Biometrika|1983
31k cit.
4
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Journal of the American Statistical Association|1979
23k cit.
5
Longitudinal data analysis using generalized linear models
Biometrika|1986
18.1k cit.
6
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence|1984
18k cit.
7
Statistical Analysis With Missing Data
Journal of the American Statistical Association|1989
17.5k cit.
8
Regularization Paths for Generalized Linear Models via Coordinate Descent
Journal of Statistical Software|2010
17.1k cit.
9
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
10
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
Econometrica|1981
14.6k cit.

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