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A Random-Effects Probit Model for Predicting Medical …
- https://www.tandfonline.com/doi/abs/10.1080/01621459.1994.10476809
- Results of the analysis reveal that (1) there is a sizable random physician effect; (2) risk increases between age 40 to 60; (3) physicians in a surgical specialty are at increased risk; (4) male physicians are at greater risk than female physicians; (5) risk …
(PDF) A Random-Effects Probit Model for Predicting Medical
- https://research.amanote.com/publication/G5MI2HMBKQvf0Bhiuizb/a-random-effects-probit-model-for-predicting-medical-malpractice-claims
- A Random-Effects Probit Model for Predicting Medical Malpractice Claims by Robert D. Gibbons, Donald Hedeker, Sara C. Charles, Paul Frisch published Amanote …
A Random-Effects Probit Model for Predicting Medical …
- https://www.semanticscholar.org/paper/A-Random-Effects-Probit-Model-for-Predicting-Claims-Gibbons-Hedeker/9de5196c1be33079b87fd90b3eed148b665e1637
- A random effect of “claim vulnerability” assumed to be normally distributed in the population of physicians is incorporated and this random effect represents …
A Random-Effects Probit Model for Predicting Medical …
- http://bstt513.class.uic.edu/GibbonsJASA94.pdf
- the model incorporates a random effect of "claim vulnerability" assumed to be normally distributed in the population of physicians. This random effect represents unobservable …
A Random-Effects Probit Model for Predicting Medical …
- https://www.researchgate.net/publication/254287416_A_Random-Effects_Probit_Model_for_Predicting_Medical_Malpractice_Claims
- In addition, the model incorporates a random effect of “claim vulnerability” assumed to be normally distributed in the population of physicians. This random effect …
A Random-Effects Probit Model for Predicting Medical …
- https://www.semanticscholar.org/paper/A-Random-Effects-Probit-Model-for-Predicting-Claims-Gibbons-Hedeker/9de5196c1be33079b87fd90b3eed148b665e1637/figure/1
- A Random-Effects Probit Model for Predicting Medical Malpractice Claims @article{Gibbons1994ARP, title={A Random-Effects Probit Model for Predicting …
A random-effects probit model for predicting medical …
- https://www.academia.edu/723826/A_random_effects_probit_model_for_predicting_medical_malpractice_claims
- Results of the analysis reveal that (1) there is a sizable random physician effect; (2) risk increases between age 40 to 60; (3) physicians in a surgical specialty are at increased …
Application of Random-Effects Probit Regression Models
- https://www.semanticscholar.org/paper/Application-of-Random-Effects-Probit-Regression-Gibbons-Hedeker/b0aaed78dce4221758d381309823df9a35803965
- A random-effects ordinal regression model is proposed for analysis of clustered or longitudinal ordinal response data and a maximum marginal likelihood (MML) …
Prevalence and Characteristics of Physicians Prone to …
- https://www.nejm.org/doi/full/10.1056/NEJMsa1506137
- Approximately 1% of all physicians accounted for 32% of paid claims. Among physicians with paid claims, 84% incurred only one during the study period (accounting for 68% of all paid claims),...
A random-effects probit model for predicting medical malpractice …
- https://docgo.net/a-random-effects-probit-model-for-predicting-medical-malpractice-claims
- A random-effects probit model for predicting medical malpractice claims
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