Leaderboards/Statistical Methods and Bayesian Inference

Statistical Methods and Bayesian Inference

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
J. Kenneth Tay
Stanford Medicine
2
Eleanor Sanderson
University of Bristol
3
Carlos Cinelli
University of California, Los Angeles
4
Levi Kumle
Goethe University Frankfurt
5
Stephen Bates
Massachusetts Institute of Technology
6
Alexander Berger
Universität Ulm
7
Gemma Hammerton
Bristol City Council
8
Ardalan Mirzaei
The University of Sydney
9
Alberto Abadie
John F. Kennedy University
10
David N. Borg
Queensland University of Technology

Rising Stars Papers

1
Sensemakr: Sensitivity Analysis Tools for OLS in R and Stata
Observational Studies|2024
54 cit.
2
<scp>Meta‐analysis</scp> prediction intervals are under reported in sport and exercise medicine
Scandinavian Journal of Medicine and Science in Sports|2024
51 cit.
3
Mammographic density mediates the protective effect of early-life body size on breast cancer risk
Nature Communications|2024
17 cit.
4
An omitted variable bias framework for sensitivity analysis of instrumental variables
Biometrika|2025
14 cit.
5
Multivariable MR Can Mitigate Bias in Two‐Sample MR Using Covariable‐Adjusted Summary Associations
Genetic Epidemiology|2025
11 cit.
6
Multifaceted consequences of visual distraction during natural behaviour
Communications Psychology|2024
8 cit.
7
Dynamics of task preparation processes revealed by effect course analysis on response times and error rates
Scientific Reports|2024
6 cit.
8
Inhibition of cued but not executed task sets depends on cue-task compatibility and practice
Psychological Research|2024
5 cit.
9
A structural mean modeling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations
American Journal of Epidemiology|2025
3 cit.
10
Task set reconfiguration following masked and unmasked task cues
Consciousness and Cognition|2025
3 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Allen Riddell
Indiana University
2
Dejan Draschkow
University of Oxford
3
Jun B. Zhao
Vanderbilt University
4
Stephen L. Morgan
Johns Hopkins University
5
David Palma
University of Leeds
6
Xinwei Ma
Hebei University of Technology
7
Matti Vuorre
Tilburg University
8
Pınar Özdemir
Hacettepe University
9
Matthew D. Webb
Carleton University
10
Peter Zeidman
Wellcome Centre for Human Neuroimaging

Emerging Leaders Papers

1
Cluster-robust inference: A guide to empirical practice
Journal of Econometrics|2022
302 cit.
2
Time spent playing video games is unlikely to impact well-being
Royal Society Open Science|2022
97 cit.
3
Reworking wild bootstrap‐based inference for clustered errors
Canadian Journal of Economics/Revue canadienne d économique|2023
71 cit.
4
Fast and reliable jackknife and bootstrap methods for cluster‐robust inference
Journal of Applied Econometrics|2023
41 cit.
5
A primer on Variational Laplace (VL)
NeuroImage|2023
39 cit.
6
Remote virtual reality as a tool for increasing external validity
Nature Reviews Psychology|2022
33 cit.
7
Estimating the association between Facebook adoption and well-being in 72 countries
Royal Society Open Science|2023
28 cit.
8
Global Well-Being and Mental Health in the Internet Age
Clinical Psychological Science|2023
28 cit.
9
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.
10
<b>lpdensity</b>: Local Polynomial Density Estimation and Inference
Journal of Statistical Software|2022
20 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Steve Walker
McMaster University
2
Donald B. Rubin
Tsinghua University
3
Edgar Erdfelder
Technische Hochschule Mannheim
4
Peter M. Bentler
University of California, Los Angeles
5
Scott L. Zeger
Johns Hopkins University
6
Bengt Muthén
University of California, Los Angeles
7
Karin Groothuis‐Oudshoorn
University of Twente
8
Adrian E. Raftery
University of Washington
9
James M. Robins
Harvard University
10
A. F. M. Smith
Imperial College London

Current Senior Leaders Papers

1
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
Structural Equation Modeling A Multidisciplinary Journal|1999
105.4k cit.
2
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Journal of Statistical Software|2015
85.6k cit.
3
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.
4
The central role of the propensity score in observational studies for causal effects
Biometrika|1983
31k cit.
5
Comparative fit indexes in structural models.
Psychological Bulletin|1990
23.9k cit.
6
Significance tests and goodness of fit in the analysis of covariance structures.
Psychological Bulletin|1980
18.3k cit.
7
Longitudinal data analysis using generalized linear models
Biometrika|1986
18.1k cit.
8
Statistical Analysis With Missing Data
Journal of the American Statistical Association|1989
17.5k cit.
9
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
10
<b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>
Journal of Statistical Software|2011
13.6k cit.

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