Pedestrian-Aware Statistical Risk Assessment

Author(s):  
Xun Shen ◽  
Pongsathorn Raksincharoensak
PEDIATRICS ◽  
1993 ◽  
Vol 92 (3) ◽  
pp. 509-509
Author(s):  
MICHAEL ASCHNER

To the Editor.— Dr Herbert Needleman's frightful description of his investigative ordeal, unnecessary as it may have been, will hopefully serve as an eye opener to the scientific community. It reemphasizes that where there is money at stake there is advocacy language on both sides. Anyone can seriously attack any statistical risk assessment on the premise that if a compound has no effect on a given measurement, about 1 of 20 studies to report such an association would be on the basis of change.


2007 ◽  
Vol 35 (2) ◽  
pp. 173-176
Author(s):  
Andrijana Eđed ◽  
Dražen Horvat

2006 ◽  
Vol 52 (1) ◽  
pp. 178-200 ◽  
Author(s):  
Stephen D. Gottfredson ◽  
Laura J. Moriarty

2019 ◽  
Vol 34 (6) ◽  
pp. 4773-4783 ◽  
Author(s):  
Xi Chen ◽  
Jing Qiu ◽  
Luke Reedman ◽  
Zhao Yang Dong

Author(s):  
Benjamin Wiggins

Calculating Race: Racial Discrimination in Risk Assessment presents the historical relationship between statistical risk assessment and race in the United States. It illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and, in turn, helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. The monograph begins by investigating the development of statistical risk assessment explicitly based on race in the late-nineteenth-century life insurance industry. It then traces how such risk assessment migrated from industry to government, becoming a guiding force in parole decisions and in federal housing policy. Finally, it concludes with an analysis of “proxies” for race—statistical variables that correlate significantly with race—in order to demonstrate the persistent presence of race in risk assessment even after the anti-discrimination regulations won by the Civil Rights Movement. Offering readers a new perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision-making increasingly pervade American life.


1998 ◽  
Vol 62 (10) ◽  
pp. 756-761 ◽  
Author(s):  
CW Douglass
Keyword(s):  

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