Random effects modelling versus logistic regression for the inclusion of cluster-level covariates in propensity score estimation: A Monte Carlo simulation and registry cohort analysis
Purpose: Surgeon and hospital-related features, such as volume, can be associated with treatment choices and outcomes. Accounting for these covariates with propensity score (PS) analysis can be challenging due to the clustered nature of the data. We studied six different PS estimation strategies for...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2023-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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