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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 ...
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. [11]
The Great Barrington Declaration is an open letter published in October 2020 in response to the COVID-19 pandemic and lockdowns. [1] [2] It claimed that COVID-19 lockdowns could be avoided via the fringe notion of "focused protection", by which those most at risk of dying from an infection could purportedly be kept safe while society otherwise took no steps to prevent infection.
[5] [6] 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.
Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.
ELAN is computer software, a professional tool to manually and semi-automatically annotate and transcribe audio or video recordings. [2] It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media.
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.
In qualitative research, a member check, also known as informant feedback or respondent validation, is a technique used by researchers to help improve the accuracy, credibility, validity, and transferability (also known as applicability, internal validity, [1] or fittingness) of a study. [2]