Sander Greenland

Sander Greenland (born January 16, 1951) is an American statistician and epidemiologist with many contributions to statistical and epidemiologic methods including Bayesian and causal inference, bias analysis, and meta-analysis. His focus has been the extensions, limitations, and misuses of statistical methods in nonexperimental studies, especially in postmarketing surveillance of drugs, vaccines, and medical devices. He received honors Bachelor's and master's degrees in mathematics from the University of California, Berkeley, where he was Regent's and National Science Foundation Fellow in Mathematics, and then received Master's and Doctoral degrees in epidemiology from the University of California, Los Angeles (UCLA), where he was Regent's Fellow in Epidemiology. After serving as an assistant professor of biostatistics at Harvard, he joined the UCLA Epidemiology faculty in 1980 where he became Professor of Epidemiology in the Fielding School of Public Health in 1989, and Professor of Statistics in the UCLA College of Letters and Science in 1999. He moved to Emeritus status in 2012 and the following year he was awarded an honorary Doctor of Medicine by the University of Aarhus, Denmark.

Sander Greenland
Born (1951-01-16) January 16, 1951
NationalityAmerican
Alma materUniversity of California, Los Angeles
University of California, Berkeley
Scientific career
FieldsStatistics
Epidemiology
InstitutionsUniversity of California, Los Angeles
Doctoral advisorRaymond Neutra

Dr. Greenland has published over 400 scientific papers and book chapters, over a dozen of which have been cited over a thousand times and several over two thousand times, including[1][2] and one of which was chosen as a discussion paper by the Royal Statistical Society.[3] He is the co-author of a leading advanced textbook on epidemiology (currently in its 3rd edition[4]). He was made a Fellow of the Royal Statistical Society in 1993 and a Fellow of the American Statistical Association in 1998,[5] and has received numerous teaching and service awards. He has been an invited lecturer at over 200 scientific institutions worldwide including Harvard, Oxford, Cambridge, Columbia, Stanford, Yale, and Erasmus universities, the Massachusetts Institute of Technology, the National Institutes of Health, the Santa Fe Institute, and the Karolinska Institute in Sweden. He has also served as a consultant to U.S. governmental agencies including the National Academy of Sciences, the Food and Drug Administration, the Centers for Disease Control, and the Environmental Protection Agency, as well the World Health Organization. He has further served as an editor for statistical and epidemiologic journals and books including the Dictionary of Epidemiology sponsored by the International Epidemiological Association.[6]

He is a leading critic of arbitrary significance thresholds in science[7][8][9][10] and has drawn attention to misunderstandings of p-values.[11]

References
  1. Greenland, S. (March 1989). "Modeling and variable selection in epidemiologic analysis". American Journal of Public Health. 79 (3): 340–9. doi:10.2105/AJPH.79.3.340. PMC 1349563. PMID 2916724.
  2. Greenland, Sander; Pearl, Judea; Robins, James M. (January 1999). "Causal Diagrams for Epidemiologic Research". Epidemiology. 10 (1): 37–48. doi:10.1097/00001648-199901000-00008. ISSN 1044-3983. PMID 9888278.
  3. Greenland, S. (January 1, 2005). "Multiple-bias modeling for analysis of observational data (with discussion)". Journal of the Royal Statistical Society. Series A (Statistics in Society). 168 (2): 267–308. doi:10.1111/j.1467-985x.2004.00349.x.
  4. Rothman, K. J.; Greenland, S.; Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN 978-0-7817-5564-1.
  5. "ASA Fellows". American Statistical Association. Retrieved 2011-02-15.
  6. Porta, M.; Greenland, S.; Hernán, M.; dos Santos Silva, I.; Last, J. M., eds. (2014). A Dictionary of Epidemiology (6th ed.). New York: Oxford University Press. ISBN 9780199976737.
  7. Amrhein, V.; Greenland, S.; McShane, B. (March 2019). "Scientists rise up against statistical significance". Nature. 567 (7748): 305–307. Bibcode:2019Natur.567..305A. doi:10.1038/d41586-019-00857-9. PMID 30894741. S2CID 84186074.
  8. Amrhein, V.; Greenland, S. (January 2018). "Remove, rather than redefine, statistical significance". Nature Human Behaviour. 2 (1): 4. doi:10.1038/s41562-017-0224-0. PMID 30980046. S2CID 46814177.
  9. ""Abandon / Retire Statistical Significance": Your chance to sign a petition!".
  10. Rafi, Z; Greenland, S (September 2020). "Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise". BMC Medical Research Methodology. 20 (1): 244. arXiv:1909.08579. doi:10.1186/s12874-020-01105-9. PMC 7528258. PMID 32998683.
  11. Greenland, S.; Senn, S. J.; Rothman, K. J.; Carlin, J. B.; Poole, C.; Goodman, S. N.; Altman, D. G. (April 2016). "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations". European Journal of Epidemiology. 31 (4): 337–50. doi:10.1007/s10654-016-0149-3. PMC 4877414. PMID 27209009.
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