Brain Cancer Data#
A data set consisting of survival times for patients diagnosed with brain cancer.
sex: Factor with levels “Female” and “Male”diagnosis: Factor with levels “Meningioma”, “LG glioma”, “HG glioma”, and “Other”.loc: Location factor with levels “Infratentorial” and “Supratentorial”.ki: Karnofsky index.gtv: Gross tumor volume, in cubic centimeters.stereo: Stereotactic method factor with levels “SRS” and “SRT”.status: Whether the patient is still alive at the end of the study: 0=Yes, 1=No.time: Survival time, in months
Source#
I. Selingerova, H. Dolezelova, I. Horova, S. Katina, and J. Zelinka. Survival of patients with primary brain tumors: Comparison of two statistical approaches. PLoS One, 11(2):e0148733, 2016. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4749663/
from ISLP import load_data
BrainCancer = load_data('BrainCancer')
BrainCancer.columns
Index(['sex', 'diagnosis', 'loc', 'ki', 'gtv', 'stereo', 'status', 'time'], dtype='object')
BrainCancer.shape
(88, 8)
BrainCancer.columns
Index(['sex', 'diagnosis', 'loc', 'ki', 'gtv', 'stereo', 'status', 'time'], dtype='object')
BrainCancer.describe()
| ki | gtv | status | time | |
|---|---|---|---|---|
| count | 88.000000 | 88.000000 | 88.000000 | 88.000000 |
| mean | 81.022727 | 8.660795 | 0.397727 | 27.457500 |
| std | 10.508866 | 8.657576 | 0.492233 | 20.124412 |
| min | 40.000000 | 0.010000 | 0.000000 | 0.070000 |
| 25% | 80.000000 | 2.500000 | 0.000000 | 10.392500 |
| 50% | 80.000000 | 6.510000 | 0.000000 | 24.030000 |
| 75% | 90.000000 | 12.100000 | 1.000000 | 41.597500 |
| max | 100.000000 | 34.640000 | 1.000000 | 82.560000 |
BrainCancer['diagnosis'].value_counts()
Meningioma 42
HG glioma 22
Other 14
LG glioma 9
Name: diagnosis, dtype: int64