Risk prediction models for binary response variables for the coronary bypass operation
The ability to predict 30 day operative mortality and complications following coronary artery bypass surgery in the individual patient has important implications clinically and for the design of clinical trials. This thesis focuses on setting up risk stratification algorithms. Utilizing the binary f...
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Language: | English |
Published: |
2008
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Online Access: | http://hdl.handle.net/2429/1571 |
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