2019-10-08
Predicting Clinical Outcomes in Cardiovascular Diseases : methodological advancements and applications
Publication
Publication
Het voorspellen van klinische uitkomsten in hart- en vaatziekten : methodologische vorderingen en toepassingen
In this thesis we aimed to improve the prediction of clinical outcomes in cardiovascular diseases (CVD) in several ways. Motivated by an increasing attention for CVD in women, we made an overview of all available prediction models for CVD in women and investigated how well they performed.
Secondly we focused on dynamic models, that use changes in the status of the patient to get better estimates of the risk of clinical outcomes.
| Additional Metadata | |
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| , , , , , | |
| H. Boersma (Eric) , D. Rizopoulos (Dimitris) , I. Kardys (Isabella) | |
| Erasmus University Rotterdam | |
| The research described in this thesis was supported by a grant of the Dutch Heart Foundation (2013T083) | |
| hdl.handle.net/1765/119913 | |
| Organisation | Department of Cardiology |
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Baart, S. (2019, October 8). Predicting Clinical Outcomes in Cardiovascular Diseases : methodological advancements and applications. Retrieved from http://hdl.handle.net/1765/119913 |
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