ArticleHealth services research2009
Improving disparity estimates for rare racial/ethnic groups with trend estimation and Kalman filtering: an application to the National Health Interview Survey.
Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Associations Between Leisure-Time Physical Activity and Mortality by Sociodemographic Factors.Journal of physical activity & health · 2025Article
- Indicators of inequity: Exploring the complexities of operationalizing area-level structural racism.SSM - population health · 2024Article
- Building Trust: Strategies for Recruiting Underrepresented Populations in Research during the COVID-19 Pandemic.International journal of translational medical research and public health · 2023Article
- Measuring Patient-Centeredness of Care for Seriously Ill Individuals: Challenges and Opportunities for Accountability Initiatives.Journal of palliative medicine · 2018Article
- Statistical benchmarks for health care provider performance assessment: a comparison of standard approaches to a hierarchical Bayesian histogram-based method.Health services research · 2014Article
- Beyond black and white: race/ethnicity and health status among older adults.The American journal of managed care · 2014Article
- The Modified Kalman Filter Macro: User's Guide.Rand health quarterly · 2012Article
- Data and measurement issues in the analysis of health disparities.Health services research · 2010Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveSingle-year estimates of health disparities in small racial/ethnic groups are often insufficiently precise to guide policy, whereas estimates that are pooled over multiple years may not accurately describe current conditions. While collecting additional data is costly, innovative analytic approaches may improve the accuracy and utility of existing data. We developed an application of the Kalman filter in order to make more efficient use of extant data. DATA SOURCE: We used 1997-2004 National Health Interview Survey data on the prevalence of health outcomes for two racial/ethnic subgroups: American Indians/Alaska Natives and Chinese Americans. STUDY
designWe modified the Kalman filter to generate more accurate current-year prevalence estimates for small racial/ethnic groups by efficiently aggregating past years of cross-sectional survey data within racial/ethnic groups. We compared these new estimates and their accuracy to simple current-year prevalence estimates. PRINCIPAL
findingsFor 18 of 19 outcomes, the modified Kalman filter approach reduced the error of current-year estimates for each of the two groups by 20-35 percent-equivalent to increasing current-year sample sizes for these groups by 56-135 percent.
conclusionsThis approach could increase the accuracy of health measures for small groups using extant data, with virtually no additional cost other than those related to analytical processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.