Table III.

Median (IQR)× 10 of the mean integrated squared error for 250 pairs of learning and test samples of size 300 and 200, respectively.

		Model A		Model B
Per cent missing	Method†	FLD*	LR	FLD	LR
0	COMP	0.0455 (0.0315)	0.0479 (0.0343)	0.0585 (0.0499)	0.0585 (0.0496)
10	COBS	0.0481 (0.0367)	0.0505 (0.0608)	0.0667 (0.0616)	0.0660 (0.0549)
	SS	0.0466 (0.0385)	0.0482 (0.0378)	0.0881 (0.0745)	0.0847 (0.0709)
	CS	0.0469 (0.0457)	0.0560 (0.0584)	0.0736 (0.0658)	0.0811 (0.0722)
	MI-1	0.0461 (0.0371)	0.0502 (0.0397)	0.0735 (0.0694)	0.0711 (0.0622)
	MI-10	0.0427 (0.0337)	0.0469 (0.0370)	0.0721 (0.0625)	0.0720 (0.0613)
25	COBS	0.0488 (0.0462)	0.0553 (0.0473)	0.0851 (0.0663)	0.0861 (0.0636)
	SS	0.0522 (0.0501)	0.0550 (0.0529)	0.1171 (0.0567)	0.1164 (0.0636)
	CS	0.0655 (0.0732)	0.0920 (0.0809)	0.1061 (0.0815)	0.1211 (0.0850)
	MI-1	0.0569 (0.0562)	0.0599 (0.0668)	0.1094 (0.0830)	0.1139 (0.0833)
	MI-10	0.0502 (0.0480)	0.0556 (0.0522)	0.0948 (0.0652)	0.1011 (0.0747)
40	COBS	0.0810 (0.0618)	0.0854 (0.0713)	0.1210 (0.0852)	0.1535 (0.0691)
	SS	0.0789 (0.0697)	0.0845 (0.0736)	0.1534 (0.0621)	0.1632 (0.0767)
	CS	0.1251 (0.1005)	0.1468 (0.0807)	0.1452 (0.0901)	0.1664 (0.0854)
	MI-1	0.9470 (0.0807)	0.1053 (0.0962)	0.1612 (0.0982)	0.1701 (0.1078)
	MI-10	0.0838 (0.0813)	0.1040 (0.0915)	0.1378 (0.0766)	0.1502 (0.0924)

^*FLD, reduction in full exponential likelihood deviance statistic; LR, two-sample log rank statistic.

^†COMP, full simulated data; COBS, completely observed cases only; SS, surrogate splitting; CS, Conversano and Siciliano's single imputation; MI-1, multiple imputation with one draw of normal error; and MI-10, multiple imputation with 10 draws of normal error.