Using linked cohort data to help address residual confounding in analyses of population administrative data
Objectives Analyses of population administrative data can often only be minimally adjusted due to the unavailability of a full set of control variables, leading to bias due to residual confounding. Cohort studies will often contain rich information on potential confounders but may not be sufficient...
| Published in: | International Journal of Population Data Science |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2024-09-01
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| Online Access: | https://ijpds.org/article/view/2544 |