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SaTScan was developed by a group of epidemiologists and statisticians led by Martin Kulldorff, a Swedish biostatistician professor of medicine at Harvard Medical School. [10] Version 1.0 of the software was first released in 1997 and has since become a widely used tool in the field of public health research and practice.
Martin Kulldorff (born 1962) is a Swedish biostatistician.He was a professor of medicine at Harvard Medical School from 2003 until his dismissal in 2024. [2] [3] [4] He is a member of the US Food and Drug Administration's Drug Safety and Risk Management Advisory Committee and a former member of the Vaccine Safety Subgroup of the Advisory Committee on Immunization Practices at the Centers for ...
In statistics, a scan statistic or window statistic is a problem relating to the clustering of randomly positioned points. An example of a typical problem is the maximum size of a cluster of points on a line or the longest series of successes recorded by a moving window of fixed length.
SaTScan yes Windows, Linux, MAC OS: Martin Kulldorff and Information Management Services Inc. satscan.org: Applications by Field of Study: Spatial, temporal and Space-Time Scan Statistics C/C++, Java Freeware: Croizat yes Linux, MAC OS, Windows: Mauro J. Cavalcanti Website at SourceForge: Panbiogeography
[6] [7] With Martin Kulldorff and Sunetra Gupta, he was a co-author in 2020 of the Great Barrington Declaration, which advocated lifting COVID-19 restrictions on lower-risk groups to develop herd immunity through widespread infection, while promoting the fringe notion that vulnerable people could be simultaneously protected from the virus.
This list of statisticians lists people who have made notable contributions to the theories or application of statistics, or to the related fields of probability or machine learning.
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SaTScan; Scan statistic; Spatial data infrastructure; Spatial descriptive statistics; Spatial distribution; Spatial ecology; Spatial econometrics; Spatial embedding; Spatial heterogeneity; Spatial Mathematics: Theory and Practice through Mapping; Spatial neural network; Spatial variability; Spatial weight matrix; Spherical contact distribution ...