The Biostatistics Department Diversity Equity and Inclusion (DEI) Committee, with support from the Rackham Faculty Allies Diversity Grant, presents a monthly seminar series exploring the role of biostatistics in DEI. ABSTRACT: Over the course of two decades, I have had the opportunity to work with a number of epidemiologists, public health workers, and others on projects to document problems of equity in US society. These included the siting of high risk chemical factories in minority and low income communities; homicide risk associated with alcohol outlets; associations between mortality risk and neighborhood level poverty; impact of low control and high stress working conditions on depression; the effect of neighborhood built environment on health; and lead exposure and school outcomes for children in Detroit. I will also note the opportunities this work has provided for “spin-off” research on statistical methods, particularly in causal inference. I will conclude with some thoughts about going beyond documentation of inequities to changing them, as well as role of the statistical collaborator in all of these efforts.
Biostatistics Department DEIReviewing A Career's Worth of Collaborations toward Equity: the Role of the Statistician
A talk by Professor Michael Elliott
January 31, 2020
2:00 pm - 3:00 pm
M1122 SPH II
1415 Washington Heights
Ann Arbor, MI 48109-2029
Sponsored by: Biostatistics Department DEI
Contact Information: Holly Hartman at holhart@umich.edu
The Biostatistics Department Diversity Equity and Inclusion (DEI) Committee, with support from the Rackham Faculty Allies Diversity Grant, presents a monthly seminar series exploring the role of biostatistics in DEI. ABSTRACT: Over the course of two decades, I have had the opportunity to work with a number of epidemiologists, public health workers, and others on projects to document problems of equity in US society. These included the siting of high risk chemical factories in minority and low income communities; homicide risk associated with alcohol outlets; associations between mortality risk and neighborhood level poverty; impact of low control and high stress working conditions on depression; the effect of neighborhood built environment on health; and lead exposure and school outcomes for children in Detroit. I will also note the opportunities this work has provided for “spin-off” research on statistical methods, particularly in causal inference. I will conclude with some thoughts about going beyond documentation of inequities to changing them, as well as role of the statistical collaborator in all of these efforts.