Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies
Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies
Bahareh Ansari
1, 2
, MA, PhD
;
Rachel Hart-Malloy
2, 3, 4
, MPH, PhD
;
Eli S Rosenberg
2, 3, 4
, PhD
;
Monica Trigg
5
, MPH
;
Erika G Martin
2, 6
, MPH, PhD
1
Center for Policy Research
,
Rockefeller College of Public Affairs and Policy
,
University at Albany
,
Albany
,
NY
,
US
2
Center for Collaborative HIV Research in Practice and Policy
,
School of Public Health
,
University at Albany
,
Albany
,
NY
,
US
3
New York State Department of Health
,
Albany
,
NY
,
US
4
Department of Epidemiology and Biostatistics
,
School of Public Health
,
University at Albany
,
Albany
,
NY
,
US
5
Department of Epidemiology
,
Rollins School of Public Health
,
Emory University
,
Atlanta
,
GA
,
US
6
Department of Public Administration and Policy
,
Rockefeller College of Public Affairs and Policy
,
University at Albany
,
Albany
,
NY
,
US
Corresponding Author:
-
Erika G Martin, MPH, PhD
-
Department of Public Administration and Policy
-
Rockefeller College of Public Affairs and Policy
-
University at Albany
-
300 Milne Hall
-
135 Western Ave
-
Albany, NY
-
US
-
Phone:
1 518 442 5243
-
Email: emartin@albany.edu