Sander Greenland
Papers
1
Total Citations
3,663
H-Index
1
About
Sander Greenland is a towering figure in epidemiologic methods, best known for his foundational work in causal inference and biostatistics. His landmark 1999 paper, "Causal Diagrams for Epidemiologic Research," with over 3,600 citations, revolutionized how researchers conceptualize and control for confounding, selection bias, and measurement error. Greenland played a pivotal role in translating directed acyclic graphs (DAGs) from computer science and philosophy into practical tools for epidemiology, enabling clearer articulation of causal assumptions and more rigorous study design. Beyond causal diagrams, his contributions span meta-analysis, Bayesian methods, and the critical evaluation of statistical practices, including p-values and significance testing. With an h-index exceeding 100, his work has shaped modern epidemiologic training and practice worldwide. Greenland’s writings are noted for their clarity, intellectual honesty, and willingness to challenge dogma, making him an essential guide for students and researchers seeking to understand the logic behind study design and data analysis. His legacy endures in the everyday tools and frameworks used to draw causal conclusions from observational data.
Research Focus
Key Achievements
Top Papers
- 1Causal Diagrams for Epidemiologic Research3,663 citations · 1999