| Autor: |
Yeats Ye, Carla E Zelaya, Christine S. Cox, Cordell Golden, Cindy Zhang, Lisa B. Mirel, Jonathan Aram |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.15620/cdc:100469 |
| Popis: |
Background Linking health survey data to administrative records expands the analytic utility of survey participant responses, but also creates the potential for new sources of bias when not all participants are eligible for linkage. Residual differences-bias-can occur between estimates made using the full survey sample and the subset eligible for linkage. Objective To assess linkage eligibility bias and provide examples of how bias may be reduced by changes in questionnaire design and adjustment of survey weights for linkage eligibility. Methods Linkage eligibility bias was estimated for various sociodemographic groups and health-related variables for the 2000-2013 National Health Interview Surveys. Conclusions Analysts using the linked data should consider the potential for linkage eligibility bias when planning their analyses and use approaches to reduce bias, such as survey weight adjustments, when appropriate. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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