Development of the multivariate administrative data cystectomy model and its impact on misclassification bias

Development of the multivariate administrative data cystectomy model and its impact on misclassification bias

Abstract Background Misclassification bias (MB) is the deviation of measured from true values due to incorrect case assignment. This study compared MB when cystectomy status was determined using administrative database codes vs. predicted cystectomy probability. Methods We identified every primary c...

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Bibliographic Details
Main Authors: James Ross, Luke T. Lavallee, Duane Hickling, Carl van Walraven
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Research Methodology
Subjects:
Cystectomy
Urinary diversion
Predictive model
Misclassification bias
Bootstrap imputation
Administrative data
Online Access:https://doi.org/10.1186/s12874-024-02199-1

Internet

https://doi.org/10.1186/s12874-024-02199-1

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