Leaderboards/Statistical Methods in Epidemiology

Statistical Methods in Epidemiology

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
David N. Borg
Queensland University of Technology
2
Jianfu Xia
Wenzhou Medical University
3
Ayfer Ezgi Yılmaz
Hacettepe University
4
Saeed Najafi-Zangeneh
Amirkabir University of Technology
5
Shaheen M. Z. Memon
University of Rwanda
6
X. Zhang
University of Illinois Urbana-Champaign
7
Asif Newaz
Center for Environmental and Geographic Information Services
8
Sridhar Mangalesh
Albert Einstein College of Medicine
9
Jayanth Sivakumar
Binghamton University
10
Leila Fasihi
Tarbiat Modares University

Rising Stars Papers

1
Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan
ISPRS International Journal of Geo-Information|2024
56 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
iBRF: Improved Balanced Random Forest Classifier
Unknown Journal|2024
7 cit.
4
An ML-based decision support system for reliable diagnosis of ovarian cancer by leveraging explainable AI
Informatics in Medicine Unlocked|2024
5 cit.
5
Enhancing gastric cancer early detection: A multi-verse optimized feature selection model with crossover-information feedback
Computers in Biology and Medicine|2024
2 cit.
6
Age and physical activity status of Australian volunteer firefighters: a cross-sectional study
International Journal of Wildland Fire|2024
1 cit.
7
The influence of water and air temperature on elite wheelchair triathlon performance
Temperature|2024
1 cit.
8
Two-Sided Matching with Bounded Rationality: A Stochastic Framework for Personnel Selection
Mathematics|2025
1 cit.
9
Identifying Predictors of Utilization of Skilled Birth Attendance in Uganda Through Interpretable Machine Learning
International Journal of Environmental Research and Public Health|2025
1 cit.
10
Toward Accessible Dermatology: Skin Lesion Classification Using Deep Learning Models on Mobile-Acquired Images
Unknown Journal|2025
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Maarten van Smeden
Utrecht University
2
Sarah J. Faubert
Michigan State University
3
Angelika Geroldinger
Medical University of Vienna
4
Xavier‐Andoni Tibau
Universitat Autònoma de Barcelona
5
Yoon Khee Hon
Ministry of Health
6
Roberta Sciulli
VA Pittsburgh Healthcare System
7
Mikko Sairanen
University of Turku
8
Chris Finan
British Heart Foundation
9
D. Aletaha
Medical University of Vienna
10
Cornelius Bawa Upoalkpajor
Nurses' Training College, Ho

Emerging Leaders Papers

1
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
BMJ|2025
383 cit.
2
There is no such thing as a validated prediction model
BMC Medicine|2023
228 cit.
3
Sample size determination for conducting a pilot study to assess reliability of a questionnaire
Restorative Dentistry & Endodontics|2024
209 cit.
4
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
European Heart Journal|2022
134 cit.
5
Developing, validating, updating and judging the impact of prognostic models for respiratory diseases
European Respiratory Journal|2022
71 cit.
6
Five critical quality criteria for artificial intelligence-based prediction models
European Heart Journal|2023
69 cit.
7
Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures—a simulation study
Diagnostic and Prognostic Research|2023
65 cit.
8
Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicity
Science Advances|2023
39 cit.
9
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
Journal of Biomedical Informatics|2024
36 cit.
10
The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study
Statistics in Medicine|2025
31 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Gary G. Koch
University of North Carolina at Chapel Hill
2
Joanne M. Garrett
University of North Carolina at Chapel Hill
3
John B. Carlin
The University of Melbourne
4
Enrique F. Schisterman
University of Pennsylvania
5
Douglas G. Altman
Unknown
6
MinJae Lee
The University of Texas Health Science Center at Houston
7
Frank E. Harrell
Vanderbilt University Medical Center
8
Karel G.M. Moons
University Medical Center Utrecht
9
Johannes B. Reitsma
University Medical Center Utrecht
10
Peter D. Sly
Children's Medical Research Institute

Current Senior Leaders Papers

1
The Measurement of Observer Agreement for Categorical Data
Biometrics|1977
78.9k cit.
2
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Journal of Clinical Epidemiology|2009
19.9k cit.
3
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
International Journal of Surgery|2010
12k cit.
4
Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
PLoS Biology|2010
7.3k cit.
5
Understanding interobserver agreement: the kappa statistic.
PubMed|2005
7.1k cit.
6
Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research
Journal of Pharmacology and Pharmacotherapeutics|2010
6.3k cit.
7
The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials
The Lancet|2001
5.4k cit.
8
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Annals of Internal Medicine|2015
5.2k cit.
9
Practical Statistics for Medical Research.
Journal of the American Statistical Association|1992
4.9k cit.
10
Measurement in Medicine: The Analysis of Method Comparison Studies
Journal of the Royal Statistical Society Series D (The Statistician)|1983
4.4k cit.

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