buerk {pvclass}

Medical Dataset

Description

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.

Usage

data(buerk)

Format

A data frame with 21556 observations on the following 23 variables.

age

Age in years

sex

Sex (1 = female, 0 = male)

asa

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

rf_cer

Risk factor: cerebral (1 = yes, 0 = no)

rf_car

Risk factor: cardiovascular (1 = yes, 0 = no)

rf_pul

Risk factor: pulmonary (1 = yes, 0 = no)

rf_ren

Risk factor: renal (1 = yes, 0 = no)

rf_hep

Risk factor: hepatic (1 = yes, 0 = no)

rf_imu

Risk factor: immunological (1 = yes, 0 = no)

rf_metab

Risk factor: metabolic (1 = yes, 0 = no)

rf_noc

Risk factor: uncooperative, unreliable (1 = yes, 0 = no)

e_malig

Etiology: malignant (1 = yes, 0 = no)

e_vascu

Etiology: vascular (1 = yes, 0 = no)

antibio

Antibiotics therapy (1 = yes, 0 = no)

op

Surgery indicated (1 = yes, 0 = no)

opacute

Emergency operation (1 = yes, 0 = no)

optime

Surgery time in minutes

opsepsis

Septic surgery (1 = yes, 0 = no)

opskill

Expirienced surgeond, i.e. senior physician (1 = yes, 0 = no)

blood

Blood transfusion necessary (1 = yes, 0 = no)

icu

Intensive care necessary (1 = yes, 0 = no)

mortal

Mortality (1 = yes, 0 = no)

morb

Morbidity (1 = yes, 0 = no)

Source

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.

References

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.