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- March 2024
- Article
Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity
By: Mitchell Tang, Rebecca Mishuris, Lily Payvandi and Ariel Dora Stern
Importance: The COVID-19 pandemic was associated with substantial growth in patient portal messaging. Higher message volumes have largely persisted, reflecting a new normal. Prior work has documented lower message use by patients who belong to minoritized racial...
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Keywords:
Health Pandemics;
Technology Adoption;
Prejudice and Bias;
Equality and Inequality;
Communication Technology;
Race;
Ethnicity;
Health Industry
Tang, Mitchell, Rebecca Mishuris, Lily Payvandi, and Ariel Dora Stern. "Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity." JAMA Network Open 7, no. 3 (March 2024).
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection...
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 2013
- Article
Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals
By: S. A. Swift, D. Moore, Z. Sharek and F. Gino
When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals...
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Keywords:
Evaluations;
Correspondence Bias;
Selection Decisions;
Attribution;
Prejudice and Bias;
Selection and Staffing;
Decision Choices and Conditions;
Performance Evaluation;
Cognition and Thinking
Swift, S. A., D. Moore, Z. Sharek, and F. Gino. "Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals." e69258. PLoS ONE 8, no. 7 (July 2013).
- June 2010
- Article
Correspondence Bias in Performance Evaluation: Why Grade Inflation Works
By: D. A. Moore, S. A. Swift, Z. S. Sharek and F. Gino
Moore, D. A., S. A. Swift, Z. S. Sharek, and F. Gino. "Correspondence Bias in Performance Evaluation: Why Grade Inflation Works." Personality and Social Psychology Bulletin 36, no. 6 (June 2010): 843–852.