Martin Kulldorff is a professor of medicine at Harvard Medical School and a biostatistician and epidemiologist at the Brigham and Women's Hospital.[1]
Martin Kulldorff | |
|---|---|
| Born | 1962 (age 61–62) Lund, Sweden |
| Nationality | Swedish |
| Alma mater | Umeå University Cornell University |
| Known for | Co-author of Great Barrington Declaration |
| Scientific career | |
| Institutions | Harvard Medical School Brigham and Women's Hospital |
| Thesis | Optimal Control of Favorable Games with a Time Limit (1989) |
| Doctoral advisor | David Clay Heath |
Early life and education
Kulldorff was born in Lund, Sweden in 1962, the son of Barbro and Gunnar Kulldorff. He grew up in Umeå, and received a BSc in mathematical statistics from Umeå University in 1984.[2] He then moved to the United States for his postgraduate studies, obtaining a PhD in operations research from Cornell University in 1989. His PhD thesis, titled Optimal Control of Favorable Games with a Time Limit, was written under the direction of David Clay Heath.[3]
Career
Kulldorff developed a free SaTScan software program used for geographical and hospital disease surveillance as well as a TreeScan software program for data mining. He is the co-developer of the R-Sequential software program for exact sequential analysis.[4] However, his key scientific contribution is development of the statistical and epidemiological methods that are used in the software. These medthods include spatial and space-time scan statistics, the tree-based scan statistics and various sequential analysis methods.[5]
Kulldorff is one of the three authors, along with Sunetra Gupta and Jay Bhattacharya, of the early October 2020 Great Barrington Declaration. With several specific recommendations, the Declaration argues for "focused protection" of older high-risk people instead of COVID-19 pandemic lockdowns that have resulted in substantial collateral public health damage.[6] Kulldorff has appeared on several media platforms to debate the topic.[7][8][9][10] The Declaration was independently funded and written by the three principal authors with proof reading and editing done by a journalist and family member. The American Institute for Economic Research provided the location, camera equipment, and a camera person Pro bono.[6] They did not fund the Declaration.
Some scientists have criticized the Declaration, saying its claims are implausible, including that herd immunity would occur in a timely enough fashion to be impactful, and that focused protection emphasizing primarily the most vulnerable populations would be insufficient.[8]
References
- ^ "Martin Kulldorff, PhD". Dana-Farber/Harvard Cancer Center. Retrieved 13 February 2021.
- ^ "Harvard statistician appointed honorary doctor at the Faculty of Science and Technology". www.umu.se. Umeå University. August 10, 2020. Retrieved March 18, 2021.
- ^ Martin Kulldorff at the Mathematics Genealogy Project
- ^ Silva, Ivair; Gagne, Joshua; Najafzadeh, Mehdi; Kulldorff, Martin (2019-11-25). "Exact sequential analysis for multiple weighted binomial end points". Statistics in Medicine. 39 (3): 340–351. doi:10.1002/sim.8405. PMC 6984739. PMID 31769079.
- ^ "Package 'Sequential'" (PDF). 2021-02-21. Retrieved 2021-03-22.
- ^ a b "Why Was The Declaration Written?". Great Barrington Declaration. Retrieved 2021-03-22.
- ^ Varadarajan, Tunku (2020-10-23). "Opinion | Epidemiologists Stray From the Covid Herd". Wall Street Journal. ISSN 0099-9660. Retrieved 2021-01-22.
- ^ a b "Who Are the Scientists Behind the Great Barrington Declaration?". www.medpagetoday.com. 2020-10-19. Retrieved 2021-01-22.
- ^ Lenzer, Jeanne (2020-10-07). "Covid-19: Group of UK and US experts argues for "focused protection" instead of lockdowns". BMJ. 371: m3908. doi:10.1136/bmj.m3908. ISSN 1756-1833. PMID 33028622.
- ^ "Anti-lockdown advocate appears on radio show that has featured Holocaust deniers". the Guardian. 2020-10-19. Retrieved 2021-03-11.
External links
- "Martin Kulldorff, PhD – Brigham And Women's Hospital". www.dfhcc.harvard.edu. Dana–Farber/Harvard Cancer Center.
- Martin Kulldorff publications indexed by Google Scholar