Commit eeec45d9 authored by Weng's avatar Weng
Browse files

Upload New File

parent d83e2391
%% Cell type:markdown id:3d88c025 tags:
# Test Survival Tree
%% Cell type:markdown id:b687e1e3 tags:
Diese Datei dient nur dem Test der Änderungen zur Berücksichtigung der links abgeschnittenen Daten. Wir testen an einem ganz einfachen Baum mit nur zwei Blättern, das wir für den Baum gerade den korrekten Nelson-Aalen-Schätzer für die Teilbestände erhalten.
%% Cell type:code id:7a4fe6a2 tags:
``` python
#Benötigte Bibliotheken
import pandas as pd
import numpy as np
from random import randint
from sksurv.tree import SurvivalTreeTruncated
from sksurv.datasets.base import _get_x_y_survival_truncated
from export import print_tree
import eli5
from eli5.sklearn import PermutationImportance
from lifelines import NelsonAalenFitter
from lifelines import KaplanMeierFitter
import matplotlib.pyplot as plt
```
%% Cell type:code id:2542472b tags:
``` python
#Einlesen der Daten
path="KleinerBUBestand_Test.csv"
data = pd.read_csv(path)
del data['Unnamed: 0']
```
%% Cell type:markdown id:4930d70e tags:
Erst rechnen wir den Nelson-Aalen-Fitter per Hand nach.
%% Cell type:code id:36e202eb tags:
``` python
#Nelson-Aalen-Fitter nachrechnen
naf= NelsonAalenFitter(nelson_aalen_smoothing=False)
naf.fit(data['Austrittsalter'], data['Ereignis'],entry=data['Eintrittsalter'])
s=naf.cumulative_hazard_.to_numpy().reshape(43)
t1=np.diff(s)
#Nachrechnen
m=np.copy(t1)
#i=1
for i in range(0,len(t1)):
data_d=data[(data['Eintrittsalter']<=19+i) & (data['Austrittsalter']>=20+i)]
data_n=data_d[(data_d['Austrittsalter']==20+i) & (data_d['Ereignis']==1)]# m[i]=len(data_n)/len(data_d)
m[i]=len(data_n)/len(data_d)
#Differenz
m-t1
```
%%%% Output: execute_result
array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
-4.33680869e-19, -4.33680869e-19, 6.50521303e-19, 0.00000000e+00,
2.16840434e-19, -1.51788304e-18, -8.67361738e-19, 8.67361738e-19,
8.67361738e-19, -1.73472348e-18, -2.16840434e-19, 4.33680869e-19,
1.30104261e-18, -1.51788304e-18, -3.03576608e-18, -4.33680869e-19,
2.16840434e-18, 8.67361738e-19, -2.16840434e-18, -3.03576608e-18,
2.16840434e-18, -8.67361738e-19, -2.60208521e-18, -1.73472348e-18,
4.33680869e-18, 2.60208521e-18, 4.33680869e-18, -5.20417043e-18,
-5.20417043e-18, 0.00000000e+00, -1.73472348e-18, -4.33680869e-18,
-1.73472348e-18, 6.93889390e-18, 6.93889390e-18, 3.46944695e-18,
1.21430643e-17, 0.00000000e+00])
%% Cell type:markdown id:20b82ab3 tags:
Nun wird ein Baum erzeugt. Der Baum hat nur zwei Blätter: Berufsklasse==1 und Berufsklasse!=1.
%% Cell type:code id:ce3c1681 tags:
``` python
#links-abgeschnitten und rechts-zensiert
X, y=_get_x_y_survival_truncated(data, "Ereignis","Eintrittsalter", "Austrittsalter", 1)
estimator = SurvivalTreeTruncated(max_depth=1).fit(X,y)
print_tree(estimator)
```
%%%% Output: stream
The binary tree structure has 3 nodes and has the following tree structure:
node=0 is a split node: go to node 1 if X[:, 1] <= 1.5 else to node 2.
node=1 is a leaf node.
node=2 is a leaf node.
%% Cell type:code id:da098a65 tags:
``` python
subset1=data[data['Berufsklasse']==1]
subset2=data[data['Berufsklasse']!=1]
X1, y1=_get_x_y_survival_truncated(subset1, "Ereignis","Eintrittsalter", "Austrittsalter", 1)
X2, y2=_get_x_y_survival_truncated(subset2, "Ereignis","Eintrittsalter", "Austrittsalter", 1)
naf1= NelsonAalenFitter(nelson_aalen_smoothing=False)
naf2= NelsonAalenFitter(nelson_aalen_smoothing=False)
naf1.fit(subset1['Austrittsalter'], subset1['Ereignis'],entry=subset1['Eintrittsalter'])
naf2.fit(subset2['Austrittsalter'], subset2['Ereignis'],entry=subset2['Eintrittsalter'])
s1=naf1.cumulative_hazard_.to_numpy().reshape(43)
t1=np.diff(s1)
s2=naf2.cumulative_hazard_.to_numpy().reshape(43)
t2=np.diff(s2)
```
%% Cell type:code id:a01f7d78 tags:
``` python
plt.plot(np.arange(20,60), t1[0:40],'b',label='T1')
plt.plot(np.arange(20,60), t2[0:40],'r',label='T2')
plt.legend()
plt.title("Inzidenzwahrscheinlichkeiten im Vergleich")
plt.show()
```
%%%% Output: display_data
![](data:image/png;base64,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)
%% Cell type:code id:d3f31582 tags:
``` python
table1= estimator.predict_cumulative_hazard_function(X1,return_array=True)
curve1=table1.mean(axis=0)
curve1=np.concatenate([np.array([curve1[0]]),np.diff(curve1)[0:40]])
table2= estimator.predict_cumulative_hazard_function(X2,return_array=True)
curve2=table2.mean(axis=0)
curve2=np.concatenate([np.array([curve2[0]]),np.diff(curve2)[0:40]])
plt.plot(np.arange(20,60), curve1[0:40],'b',label='BK1')
plt.plot(np.arange(20,60), curve2[0:40],'r',label='BKne1')
plt.legend()
plt.title("Inzidenzwahrscheinlichkeiten im Vergleich")
plt.show()
```
%%%% Output: display_data
![](data:image/png;base64,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)
%% Cell type:markdown id:403fd216 tags:
Tatsächlich erhalten wir die beiden Blätter genau die Inzidenzwahrscheinlichkeiten, die sich aus den Nelson-Aalen-Schätzer der beiden Teilbestände ergeben.
%% Cell type:code id:61771516 tags:
``` python
plt.plot(np.arange(20,60), curve1[0:40],'b',label='BK1')
plt.plot(np.arange(20,60), t1[0:40],'r',label='T1')
#plt.plot(np.arange(20,60), curve2[0:40],'r',label='BKne1')
plt.legend()
plt.title("Inzidenzwahrscheinlichkeiten im Vergleich")
plt.show()
```
%%%% Output: display_data
![](data:image/png;base64,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)
%% Cell type:code id:3028ed40 tags:
``` python
plt.plot(np.arange(20,60), curve1[0:40],'b',label='BK1ne1')
plt.plot(np.arange(20,60), t1[0:40],'r',label='T2')
#plt.plot(np.arange(20,60), curve2[0:40],'r',label='BKne1')
plt.legend()
plt.title("Inzidenzwahrscheinlichkeiten im Vergleich")
plt.show()
```
%%%% Output: display_data
![](data:image/png;base64,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)
%% Cell type:code id:63147875 tags:
``` python
```
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment