| Title: |
The Target Study: A Conceptual Model and Framework for Measuring Disparity |
| Language: |
English |
| Authors: |
John W. Jackson (ORCID 0000-0002-1528-7003); Yea-Jen Hsu; Raquel C. Greer; Romsai T. Boonyasai; Chanelle J. Howe (ORCID 0000-0001-5379-472X) |
| Source: |
Sociological Methods & Research. 2026 55(2):405-458. |
| Availability: |
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: |
Y |
| Page Count: |
54 |
| Publication Date: |
2026 |
| Sponsoring Agency: |
National Heart, Lung, and Blood Institute (NHLBI) (DHHS/NIH) |
| Contract Number: |
K01HL145320 |
| Document Type: |
Journal Articles; Reports - Research |
| Descriptors: |
Models; Differences; Measurement; Disadvantaged; Health; Sampling |
| DOI: |
10.1177/00491241251314037 |
| ISSN: |
0049-1241; 1552-8294 |
| Abstract: |
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. |
| Abstractor: |
As Provided |
| Entry Date: |
2026 |
| Accession Number: |
EJ1502013 |
| Database: |
ERIC |