Survival model evaluationprint(f"IBS for SurvivalBoost: {ibs_survboost:.4f}")
-IBS for SurvivalBoost: 0.1382
+IBS for SurvivalBoost: 0.1439
We can compare this to the Integrated Brier score of a simple Kaplan-Meier estimator,
@@ -1182,7 +1181,7 @@
Survival model evaluationprint(f"IBS for Kaplan-Meier: {ibs_km:.4f}")
-IBS for Kaplan-Meier: 0.1566
+IBS for Kaplan-Meier: 0.1653
Let’s also compute the concordance index for both the Kaplan-Meier and SurvivalBoost.
@@ -1212,7 +1211,7 @@ Survival model evaluationConcordance index for SurvivalBoost: 0.67
-Total running time of the script: (0 minutes 6.993 seconds)
+Total running time of the script: (0 minutes 7.376 seconds)
Download Jupyter notebook: plot_01_survival_analysis.ipynb
diff --git a/auto_examples/plot_02_marginal_cumulative_incidence_estimation.html b/auto_examples/plot_02_marginal_cumulative_incidence_estimation.html
index 325321c..6dc9090 100644
--- a/auto_examples/plot_02_marginal_cumulative_incidence_estimation.html
+++ b/auto_examples/plot_02_marginal_cumulative_incidence_estimation.html
@@ -559,15 +559,15 @@ CIFs estimated on uncensored data)
-
Integrated theoretical any event survival curve in 0.662 s
-SurvivalBoost fit: 2.690 s
-SurvivalBoost prediction: 2.927 s
-Integrated theoretical cumulative incidence curve for event 1 in 2.988 s
-Aalen-Johansen for event 1 fit in 4.937 s
-Integrated theoretical cumulative incidence curve for event 2 in 5.032 s
-Aalen-Johansen for event 2 fit in 5.018 s
-Integrated theoretical cumulative incidence curve for event 3 in 5.096 s
-Aalen-Johansen for event 3 fit in 4.976 s
+Integrated theoretical any event survival curve in 0.614 s
+SurvivalBoost fit: 2.766 s
+SurvivalBoost prediction: 2.911 s
+Integrated theoretical cumulative incidence curve for event 1 in 2.971 s
+Aalen-Johansen for event 1 fit in 5.112 s
+Integrated theoretical cumulative incidence curve for event 2 in 5.210 s
+Aalen-Johansen for event 2 fit in 5.024 s
+Integrated theoretical cumulative incidence curve for event 3 in 5.102 s
+Aalen-Johansen for event 3 fit in 4.967 s
@@ -590,15 +590,15 @@ CIFs estimated on censored dataplot_cumulative_incidence_functions(survival_boost=survival_boost, aj=aj, y=y_censored)
-
Integrated theoretical any event survival curve in 0.591 s
-SurvivalBoost fit: 2.705 s
-SurvivalBoost prediction: 2.940 s
-Integrated theoretical cumulative incidence curve for event 1 in 3.000 s
-Aalen-Johansen for event 1 fit in 4.967 s
-Integrated theoretical cumulative incidence curve for event 2 in 5.058 s
-Aalen-Johansen for event 2 fit in 4.967 s
-Integrated theoretical cumulative incidence curve for event 3 in 5.045 s
-Aalen-Johansen for event 3 fit in 5.035 s
+Integrated theoretical any event survival curve in 0.576 s
+SurvivalBoost fit: 2.708 s
+SurvivalBoost prediction: 2.914 s
+Integrated theoretical cumulative incidence curve for event 1 in 2.974 s
+Aalen-Johansen for event 1 fit in 4.936 s
+Integrated theoretical cumulative incidence curve for event 2 in 5.027 s
+Aalen-Johansen for event 2 fit in 4.917 s
+Integrated theoretical cumulative incidence curve for event 3 in 4.995 s
+Aalen-Johansen for event 3 fit in 4.988 s
Note that the Aalen-Johansen estimator is unbiased and empirically recovers
@@ -613,7 +613,7 @@
CIFs estimated on censored dataTotal running time of the script: (0 minutes 43.187 seconds)
+Total running time of the script: (0 minutes 43.202 seconds)
Download Jupyter notebook: plot_02_marginal_cumulative_incidence_estimation.ipynb
diff --git a/searchindex.js b/searchindex.js
index 5a0f4c0..e159e60 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
IBS for SurvivalBoost: 0.1382
+IBS for SurvivalBoost: 0.1439
We can compare this to the Integrated Brier score of a simple Kaplan-Meier estimator,
@@ -1182,7 +1181,7 @@
Survival model evaluationprint(f"IBS for Kaplan-Meier: {ibs_km:.4f}")
IBS for Kaplan-Meier: 0.1566
+IBS for Kaplan-Meier: 0.1653
Let’s also compute the concordance index for both the Kaplan-Meier and SurvivalBoost.
@@ -1212,7 +1211,7 @@ Survival model evaluationConcordance index for SurvivalBoost: 0.67
Total running time of the script: (0 minutes 6.993 seconds)
+Total running time of the script: (0 minutes 7.376 seconds)
Download Jupyter notebook: plot_01_survival_analysis.ipynb
CIFs estimated on uncensored data)
Integrated theoretical any event survival curve in 0.662 s
-SurvivalBoost fit: 2.690 s
-SurvivalBoost prediction: 2.927 s
-Integrated theoretical cumulative incidence curve for event 1 in 2.988 s
-Aalen-Johansen for event 1 fit in 4.937 s
-Integrated theoretical cumulative incidence curve for event 2 in 5.032 s
-Aalen-Johansen for event 2 fit in 5.018 s
-Integrated theoretical cumulative incidence curve for event 3 in 5.096 s
-Aalen-Johansen for event 3 fit in 4.976 s
+Integrated theoretical any event survival curve in 0.614 s
+SurvivalBoost fit: 2.766 s
+SurvivalBoost prediction: 2.911 s
+Integrated theoretical cumulative incidence curve for event 1 in 2.971 s
+Aalen-Johansen for event 1 fit in 5.112 s
+Integrated theoretical cumulative incidence curve for event 2 in 5.210 s
+Aalen-Johansen for event 2 fit in 5.024 s
+Integrated theoretical cumulative incidence curve for event 3 in 5.102 s
+Aalen-Johansen for event 3 fit in 4.967 s
@@ -590,15 +590,15 @@ CIFs estimated on censored dataplot_cumulative_incidence_functions(survival_boost=survival_boost, aj=aj, y=y_censored)
Integrated theoretical any event survival curve in 0.591 s
-SurvivalBoost fit: 2.705 s
-SurvivalBoost prediction: 2.940 s
-Integrated theoretical cumulative incidence curve for event 1 in 3.000 s
-Aalen-Johansen for event 1 fit in 4.967 s
-Integrated theoretical cumulative incidence curve for event 2 in 5.058 s
-Aalen-Johansen for event 2 fit in 4.967 s
-Integrated theoretical cumulative incidence curve for event 3 in 5.045 s
-Aalen-Johansen for event 3 fit in 5.035 s
+Integrated theoretical any event survival curve in 0.576 s
+SurvivalBoost fit: 2.708 s
+SurvivalBoost prediction: 2.914 s
+Integrated theoretical cumulative incidence curve for event 1 in 2.974 s
+Aalen-Johansen for event 1 fit in 4.936 s
+Integrated theoretical cumulative incidence curve for event 2 in 5.027 s
+Aalen-Johansen for event 2 fit in 4.917 s
+Integrated theoretical cumulative incidence curve for event 3 in 4.995 s
+Aalen-Johansen for event 3 fit in 4.988 s
Note that the Aalen-Johansen estimator is unbiased and empirically recovers
@@ -613,7 +613,7 @@
CIFs estimated on censored dataTotal running time of the script: (0 minutes 43.187 seconds)
+Total running time of the script: (0 minutes 43.202 seconds)
Download Jupyter notebook: plot_02_marginal_cumulative_incidence_estimation.ipynb
diff --git a/searchindex.js b/searchindex.js
index 5a0f4c0..e159e60 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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