This data set collected by Dr. Bürk at the university hospital in Lübeck contains data of 21556 surgeries in a certain time period (end of the nineties). Besides the mortality and the morbidity it contains 21 variables describing the condition of the patient and the surgery.
A data frame with 21556 observations on the following 23 variables.
Age in years
Sex (1 = female, 0 = male)
ASA-Score (American Society of Anesthesiologists), describes the physical condition on an ordinal scale:
1 = A normal healthy patient
2 = A patient with mild systemic disease
3 = A patient with severe systemic disease
4 = A patient with severe systemic disease that is a constant threat to life
5 = A moribund patient who is not expected to survive without the operation
6 = A declared brain-dead patient whose organs are being removed for donor purposes
Risk factor: cerebral (1 = yes, 0 = no)
Risk factor: cardiovascular (1 = yes, 0 = no)
Risk factor: pulmonary (1 = yes, 0 = no)
Risk factor: renal (1 = yes, 0 = no)
Risk factor: hepatic (1 = yes, 0 = no)
Risk factor: immunological (1 = yes, 0 = no)
Risk factor: metabolic (1 = yes, 0 = no)
Risk factor: uncooperative, unreliable (1 = yes, 0 = no)
Etiology: malignant (1 = yes, 0 = no)
Etiology: vascular (1 = yes, 0 = no)
Antibiotics therapy (1 = yes, 0 = no)
Surgery indicated (1 = yes, 0 = no)
Emergency operation (1 = yes, 0 = no)
Surgery time in minutes
Septic surgery (1 = yes, 0 = no)
Expirienced surgeond, i.e. senior physician (1 = yes, 0 = no)
Blood transfusion necessary (1 = yes, 0 = no)
Intensive care necessary (1 = yes, 0 = no)
Mortality (1 = yes, 0 = no)
Morbidity (1 = yes, 0 = no)
Dümbgen L., Igl B.-W. and Munk A. (2008) P-Values for Classification. Electronic Journal of Statistics 2, 468–493, available at http://dx.doi.org/10.1214/08-EJS245.
Zumbrunnen N. and Dümbgen L. (2017) pvclass: An R Package for p Values for Classification. Journal of Statistical Software 78(4), 1–19. doi:10.18637/jss.v078.i04
Zumbrunnen N. (2014) P-Values for Classification – Computational Aspects and Asymptotics. Ph.D. thesis, University of Bern, available at http://boris.unibe.ch/id/eprint/53585.
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