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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
129
Citations
77841
World Ranking
6
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

Sander Greenland is affiliated with the University of California, Los Angeles in the United States. Their research predominantly focuses on mathematics, with a strong emphasis on statistics and probability, including subfields such as statistics, probability and uncertainty, artificial intelligence, economics and econometrics, and management science and operations research.

The scientist's published work covers a range of topics including advanced causal inference techniques, meta-analysis and systematic reviews, statistical methods in clinical trials, health systems, economic evaluations, quality of life, forecasting techniques and applications, advanced statistical methods and models, and Bayesian modeling and causal inference.

Some of the recent papers by Sander Greenland include:

  • Causal Directed Acyclic Graphs, 2022, JAMA
  • Serious adverse events of special interest following mRNA COVID-19 vaccination in randomized trials in adults, 2022, Vaccine
  • Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise, 2020, BMC Medical Research Methodology
  • Accurate Statistics on COVID-19 Are Essential for Policy Guidance and Decisions, 2020, American Journal of Public Health
  • To curb research misreporting, replace significance and confidence by compatibility, 2022, Preventive Medicine

Frequent co-authors working with Sander Greenland include Joseph Fraiman, Juan Erviti, Robert M. Kaplan, Peter Doshi, and Patrick Whelan.

They have been published primarily in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), UNC Libraries, Journal of Clinical Epidemiology, and JAMA.

Among their recognitions, Sander Greenland was named a Fellow of the American Statistical Association (ASA) in 1998.

Best Publications

  • Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

    Sander Greenland;Stephen J. Senn;Kenneth J. Rothman;John B. Carlin

  • Scientists rise up against statistical significance

    Valentin Amrhein;Sander Greenland;Blake McShane

  • Simulation Study of Confounder-Selection Strategies

    George Maldonado;Sander Greenland

  • Modeling and variable selection in epidemiologic analysis.

    S Greenland

  • THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION

    Ruth M. Mickey;Sander Greenland

  • Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis

    Sander Greenland;Matthew P. Longnecker

  • Identifiability and exchangeability for direct and indirect effects.

    James M. Robins;Sander Greenland

  • QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE

    Sander Greenland

  • Increasing value and reducing waste in research design, conduct, and analysis

    John P A Ioannidis;Sander Greenland;Mark A Hlatky;Muin J Khoury

  • Causation and Causal Inference in Epidemiology

    Kenneth J. Rothman;Sander Greenland

  • Generalized least squares for trend estimation of summarized dose–response data

    Nicola Orsini;Rino Bellocco;Sander Greenland

  • Dose-response and trend analysis in epidemiology: alternatives to categorical analysis.

    Sander Greenland

  • The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients

    Daniel J Westreich;Sander Greenland

  • Confounding and Collapsibility in Causal Inference

    Sander Greenland;James M. Robins;Judea Pearl

  • A Critical Look at Methods for Handling Missing Covariates in Epidemiologic Regression Analyses

    Sander Greenland;William D. Finkle

  • Quantifying biases in causal models: classical confounding vs collider-stratification bias.

    Sander Greenland

  • Model-based Estimation of Relative Risks and Other Epidemiologic Measures in Studies of Common Outcomes and in Case-Control Studies

    Sander Greenland

  • Sparse data bias: a problem hiding in plain sight.

    Sander Greenland;Mohammad Ali Mansournia;Douglas G Altman

  • Estimation of a common effect parameter from sparse follow-up data.

    Sander Greenland;James M. Robins

  • Identifiability, Exchangeability, and Epidemiological Confounding

    Sander Greenland;James M Robins

  • Maximum likelihood estimation of the attributable fraction from logistic models.

    Sander Greenland;Karsten Drescher

Frequent Co-Authors

Hal Morgenstern
Hal Morgenstern University of Michigan–Ann Arbor
James M. Robins
James M. Robins Harvard University
Charles Poole
Charles Poole University of North Carolina at Chapel Hill
Kamyar Kalantar-Zadeh
Kamyar Kalantar-Zadeh University of California, Irvine
Zuo-Feng Zhang
Zuo-Feng Zhang University of California, Los Angeles
Joel D. Kopple
Joel D. Kopple University of California, Los Angeles
Kenneth J. Rothman
Kenneth J. Rothman Boston University
Neil Pearce
Neil Pearce London School of Hygiene & Tropical Medicine
Csaba P. Kovesdy
Csaba P. Kovesdy University of Tennessee Health Science Center
Wendy Cozen
Wendy Cozen University of Southern California

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