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()

diagnosis
Meningioma    42
HG glioma     22
Other         14
LG glioma      9
Name: count, dtype: int64