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Statistical analysis of survival data : an application to coronary bypass surgery

University of British Columbia

The survival data for two hundred patients who underwent coronary bypass surgery are subjected to quantitative analysis. The questions of interest are: (i) the long-term survival rates of these patients, (ii) the prognostic factors influencing survival, and (iii) the importance of types of grafting in long-term survival. Statistical methods used to ascertain the important prognostic variables include contingency table analysis and discriminant analysis. It is found that left ventricular function, age, risk classification, and extent of occlusion of the diseased artery are the most influential variables. The relationship of these variables to survival is analysed in detail using the proportional hazards model discussed by Cox (1972).

Text

2010-02-08

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http://hdl.handle.net/2429/19818

Statistics

University of British Columbia

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