I have a dataset (excel table) from the Duke University Cardiovascular Disease Databank and consists of 3504 patients and 6 variables. The patients were referred to Duke University Medical Center for chest pain. Some interesting analyses include predicting the probability of significant (>= 75% diameter narrowing in at least one important coronary artery) coronary disease, and predicting the probability of severe coronary disease given that some significant disease is "ruled in." The first analysis would use sigdz as a response variable, and the second would use tvdlm on the subset of patients having sigdz=1. Severe coronary disease is defined as three-vessel or left main disease and is denoted by tvdlm=1. sex=0 for males, 1 for females.
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