Modelling hospital outcome: problems with endogeneity

Modelling hospital outcome: problems with endogeneity

Abstract Background Mortality modelling in the critical care paradigm traditionally uses logistic regression, despite the availability of estimators commonly used in alternate disciplines. Little attention has been paid to covariate endogeneity and the status of non-randomized treatment assignment....

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Bibliographic Details
Main Authors: John L. Moran, John D. Santamaria, Graeme J. Duke, The Australian & New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE)
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Research Methodology
Subjects:
Outcome analysis
Logit
Probit
Linear probability model
Calibration
Endogeneity
Online Access:https://doi.org/10.1186/s12874-021-01251-8

Internet

https://doi.org/10.1186/s12874-021-01251-8

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