Academic Journal
The Target Study: A Conceptual Model and Framework for Measuring Disparity
| Τίτλος: | The Target Study: A Conceptual Model and Framework for Measuring Disparity |
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| Συγγραφείς: | Jackson, John W., Hsu, Yea-Jen, Greer, Raquel C., Boonyasai, Romsai T., Howe, Chanelle J. |
| Συνεισφορές: | National Institutes of Health |
| Πηγή: | Sociological Methods & Research ; ISSN 0049-1241 1552-8294 |
| Στοιχεία εκδότη: | SAGE Publications |
| Έτος έκδοσης: | 2025 |
| Περιγραφή: | We present a conceptual model to measure disparity—the target study—where social groups may be similarly situated (i.e., balanced) on allowable covariates. Our model, based on a sampling design, does not intervene to assign social group membership or alter allowable covariates. To address nonrandom sample selection, we extend our model to generalize or transport disparity or to assess disparity after an intervention on eligibility-related variables that eliminates forms of collider-stratification. To avoid bias from differential timing of enrollment, we aggregate time-specific study results by balancing calendar time of enrollment across social groups. To provide a framework for emulating our model, we discuss study designs, data structures, and G-computation and weighting estimators. We compare our sampling-based model to prominent decomposition-based models used in healthcare and algorithmic fairness. We provide R code for all estimators and apply our methods to measure health system disparities in hypertension control using electronic medical records. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| DOI: | 10.1177/00491241251314037 |
| Διαθεσιμότητα: | https://doi.org/10.1177/00491241251314037 https://journals.sagepub.com/doi/pdf/10.1177/00491241251314037 https://journals.sagepub.com/doi/full-xml/10.1177/00491241251314037 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Αριθμός Καταχώρησης: | edsbas.7A509D83 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1177/00491241251314037 |
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