Michelle Magee
Biographic Data
| ID | 6080971 |
|---|---|
| NAME | Michelle Magee |
| GIVEN NAMES | Michelle |
| FAMILY NAME | Magee |
| SIGNATURE | MAGEE M |
| AFFILIATIONS | Stephen B. Thomas, Veronica V. Sansing, and Maria Mori Brooks are with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Andrew Davis is with the University of Chicago Medical Center, Chicago, IL. Michelle Magee is with the School of Medicine, Georgetown University, Washington, DC. Elaine Massaro is with the Feinberg School of Medicine, Northwestern University, Evanston, IL. V. S. Srinivas is with the Albert Einstein College of Medicine/Montefiore, New York, NY. Tarek Helmy... |
| ORCID | 0000-0002-4692-3201 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Gleaning Information for Cognitive Operations from Don’t Know Responses in Cognitive and Noncognitive Assessments
The Don't Know (DK) response - taking the form of an omitted response or not-reached at the end of a cognitive test, or explicitly presented as a response option in a social survey - contains important information that is often overlooked. Direct psychometric modeling efforts for DK responses are few and far between. In this article, the linear logistic test model (LLTM) is proposed for delineating the impacts of cognitive operations for a test t…
Racial Differences in the Association Between Self-Rated Health Status and Objective Clinical Measures Among Participants in the Bari 2D Trial
Objectives. We explored whether and how race shapes perceived health status in patients with type 2 diabetes mellitus and coronary artery disease. Methods. We analyzed self-rated health (fair or poor versus good, very good, or excellent) and associated clinical risk factors among 866 White and 333 Black participants in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial. Results. Michigan Neuropathy Screening Instrument scores…
Racial Differences in the Association Between Self-Rated Health Status and Objective Clinical Measures Among Participants in the Bari 2D Trial
Objectives. We explored whether and how race shapes perceived health status in patients with type 2 diabetes mellitus and coronary artery disease. Methods. We analyzed self-rated health (fair or poor versus good, very good, or excellent) and associated clinical risk factors among 866 White and 333 Black participants in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial. Results. Michigan Neuropathy Screening Instrument scores…
Racial Differences in the Association Between Self-Rated Health Status and Objective Clinical Measures Among Participants in the Bari 2D Trial
Objectives. We explored whether and how race shapes perceived health status in patients with type 2 diabetes mellitus and coronary artery disease. Methods. We analyzed self-rated health (fair or poor versus good, very good, or excellent) and associated clinical risk factors among 866 White and 333 Black participants in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial. Results. Michigan Neuropathy Screening Instrument scores…
Gleaning Information for Cognitive Operations from Don’t Know Responses in Cognitive and Noncognitive Assessments
The Don't Know (DK) response - taking the form of an omitted response or not-reached at the end of a cognitive test, or explicitly presented as a response option in a social survey - contains important information that is often overlooked. Direct psychometric modeling efforts for DK responses are few and far between. In this article, the linear logistic test model (LLTM) is proposed for delineating the impacts of cognitive operations for a test t…
Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Cardiovascular Health and Risk Factors (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Construct (python library) (1 work)