Table 1.

Summary of the prediction performance evaluation of the proposed method and the LVCF method based on a landmark PH model. We consider mean squared error (MSE) and survival proportion difference (SPD) regarding the predicted survival probability ${\widehat{\pi }}_i\left(u;t_{ij}^{*}\right)$, and the area under an estimated ROC curve (AUC). The size of the training dataset is n = 200 or n = 500; that of the test dataset is 200. Means of the quantities over N = 100 simulation replicates are reported.

n=200		proposed metdod			LVCF metdod
s	u	SPD(×100)	MSE(×100)	AUC	SPD(×100)	MSE(×100)	AUC
2	3	0.024	0.479	0.810	1.520	0.652	0.806
2	5	−0.159	0.469	0.868	3.345	0.787	0.864
4	3	−0.250	0.554	0.843	4.379	0.632	0.843
4	5	−0.603	0.530	0.902	4.119	0.669	0.902
6	3	−1.263	1.109	0.852	5.212	1.217	0.854
6	5	−1.472	1.021	0.896	4.302	1.009	0.899
n=500		proposed method			LVCF method
s	u	SPD(×100)	MSE(×100)	AUC	SPD(×100)	MSE(×100)	AUC
2	3	−0.280	0.344	0.815	0.595	0.554	0.813
2	5	−0.843	0.386	0.873	3.014	0.687	0.872
4	3	−1.034	0.345	0.851	4.061	0.464	0.852
4	5	−0.377	0.298	0.902	4.614	0.533	0.903
6	3	−0.209	0.477	0.861	6.425	0.768	0.862
6	5	0.156	0.361	0.905	5.788	0.753	0.905