. 2022 May 26;24(3):811–831. doi: 10.1093/biostatistics/kxac009

Table 3.

Bias, percentage bias, and coverage of estimates of log( Inline graphic log(S(t))) when and

Time	Model	Scenario 1				Scenario 2				Scenario 3				Scenario 4
Time	Model	Bias	Bias	Cov.	Conv.	Bias	Bias	Cov.	Conv.	Bias	Bias	Cov.	Conv.	Bias	Bias	Cov.	Conv.
1	Weibull	0.218	9.5	19.6	1000	0.020	.	92.2	1000	0.136	13.0	36.2	1000	0.009	0.4	95.2	1000
2	Weibull	0.154	39.8	15.7	1000	0.134	21.1	18.4	1000	0.185	36.0	4.5	1000	0.006	0.4	95.8	1000
3	Weibull	0.224	38.2	1.4	1000	0.065	7.4	70.7	1000	0.106	110.5	40.2	1000	0.004	0.4	96.2	1000
4	Weibull	0.082	8.9	57.8	1000	0.035	3.5	86.7	1000	0.019	7.1	95.7	1000	0.003	0.5	96.4	1000
5	Weibull	0.427	39.8	0.0	1000	0.118	11.0	39.1	1000	0.104	19.2	47.6	1000	0.002	0.5	96.1	1000
1	Gamma	0.063	2.7	87.3	1000	0.056	.	79.9	1000	0.007	0.7	87.7	929	0.006	0.3	95.3	1000
2	Gamma	0.027	7.0	94.0	1000	0.146	22.9	14.6	1000	0.048	9.3	77.2	929	0.007	0.5	94.4	1000
3	Gamma	0.143	24.4	14.4	1000	0.051	5.8	77.7	1000	0.018	18.8	86.0	929	0.007	0.7	93.9	1000
4	Gamma	0.056	6.1	72.4	1000	0.074	7.5	68.1	1000	0.024	8.9	83.2	929	0.006	0.9	95.2	1000
5	Gamma	0.283	26.4	0.1	1000	0.180	16.7	16.1	1000	0.005	0.9	88.4	929	0.002	0.5	96.1	1000
1	GenF	0.006	0.3	92.9	990	0.001	.	67.4	707	0.007	0.7	25.7	295	0.006	0.3	69.4	779
2	GenF	0.004	1.0	95.6	997	0.018	2.8	66.7	713	0.049	9.5	31.3	380	0.000	0.0	71.0	801
3	GenF	0.037	6.3	85.1	997	0.003	0.3	67.4	713	0.042	43.8	52.1	628	0.005	0.5	73.9	841
4	GenF	0.026	2.8	88.3	997	0.028	2.8	63.9	713	0.056	20.8	54.6	868	0.011	1.7	75.2	873
5	GenF	0.103	9.6	48.7	997	0.043	4.0	60.5	713	0.055	10.2	55.9	907	0.000	0.0	76.2	874
1	FPAFT-df=2	0.032	1.4	87.3	1000	0.073	.	67.5	1000	0.041	3.9	88.6	1000	0.009	0.4	94.5	1000
2	FPAFT-df=2	0.050	12.9	85.6	1000	0.140	22.0	17.4	1000	0.128	24.9	29.7	1000	0.003	0.2	95.7	1000
3	FPAFT-df=2	0.104	17.7	37.0	1000	0.036	4.1	83.1	1000	0.091	94.9	52.7	1000	0.002	0.2	96.4	1000
4	FPAFT-df=2	0.028	3.0	85.1	1000	0.091	9.2	57.1	1000	0.001	0.4	96.3	1000	0.002	0.3	96.7	1000
5	FPAFT-df=2	0.209	19.5	12.7	1000	0.195	18.1	9.2	1000	0.055	10.2	83.3	1000	0.002	0.5	96.0	1000
1	FPAFT-df=3	0.013	0.6	95.0	1000	0.049	.	85.5	1000	0.001	0.1	96.6	1000	0.007	0.3	94.6	1000
2	FPAFT-df=3	0.005	1.3	94.1	1000	0.058	9.1	78.9	1000	0.002	0.4	94.1	1000	0.003	0.2	95.5	1000
3	FPAFT-df=3	0.000	0.0	95.0	1000	0.026	3.0	90.1	1000	0.001	1.0	93.3	1000	0.003	0.3	96.1	1000
4	FPAFT-df=3	0.011	1.2	93.9	1000	0.037	3.7	86.6	1000	0.012	4.5	92.9	1000	0.003	0.5	95.8	1000
5	FPAFTdf=3	0.007	0.7	94.3	1000	0.090	8.4	65.5	1000	0.007	1.3	94.1	1000	0.002	0.5	95.9	1000
1	FPAFT-df=4	0.002	0.1	95.7	1000	0.006	.	91.8	1000	0.010	1.0	95.1	1000	0.006	0.3	95.0	1000
2	FPAFT-df=4	0.001	0.3	95.7	1000	0.003	0.5	93.8	1000	0.008	1.6	95.4	1000	0.003	0.2	95.6	1000
3	FPAFT-df=4	0.005	0.9	94.6	1000	0.006	0.7	95.0	1000	0.001	1.0	95.6	1000	0.004	0.4	96.1	1000
4	FPAFT-df=4	0.020	2.2	91.6	1000	0.004	0.4	94.2	1000	0.015	5.6	93.6	1000	0.003	0.5	95.4	1000
5	FPAFT-df=4	0.010	0.9	94.4	1000	0.008	0.7	94.3	1000	0.008	1.5	94.4	1000	0.003	0.8	96.1	1000
1	FPAFT-df=5	0.004	0.2	95.4	1000	0.002	.	94.7	1000	0.001	0.1	95.6	1000	0.007	0.3	94.9	1000
2	FPAFT-df=5	0.001	0.3	95.5	1000	0.001	0.2	93.9	1000	0.000	0.0	95.0	1000	0.005	0.3	95.0	1000
3	FPAFT-df=5	0.003	0.5	95.5	1000	0.002	0.2	94.4	1000	0.007	7.3	94.8	1000	0.005	0.5	94.5	1000
4	FPAFT-df=5	0.017	1.8	93.2	1000	0.004	0.4	94.4	1000	0.006	2.2	94.2	1000	0.005	0.8	94.0	1000
5	FPAFT-df=5	0.009	0.8	94.6	1000	0.005	0.5	94.1	1000	0.004	0.7	94.9	1000	0.004	1.1	95.2	1000
1	FPAFT-df=6	0.005	0.2	94.6	1000	0.001	.	95.0	1000	0.001	0.1	96.0	1000	0.007	0.3	94.7	1000
2	FPAFT-df=6	0.000	0.0	95.1	1000	0.002	0.3	94.4	1000	0.001	0.2	94.7	1000	0.005	0.3	93.9	1000
3	FPAFT-df=6	0.002	0.3	95.1	1000	0.001	0.1	95.1	1000	0.004	4.2	94.6	1000	0.005	0.5	93.4	1000
4	FPAFT-df=6	0.007	0.8	93.6	1000	0.005	0.5	94.6	1000	0.001	0.4	94.2	1000	0.005	0.8	93.6	1000
5	FPAFT-df=6	0.005	0.5	94.1	1000	0.001	0.1	94.0	1000	0.003	0.6	94.8	1000	0.004	1.1	95.4	1000
1	FPAFT-df=7	0.008	0.3	93.9	1000	0.002	.	93.6	1000	0.003	0.3	95.6	1000	0.007	0.3	93.5	1000
2	FPAFT-df=7	0.001	0.3	95.4	1000	0.002	0.3	93.7	1000	0.000	0.0	94.6	1000	0.006	0.4	92.1	1000
3	FPAFT-df=7	0.003	0.5	95.1	1000	0.002	0.2	94.2	1000	0.000	0.0	93.8	1000	0.006	0.6	92.9	1000
4	FPAFT-df=7	0.002	0.2	93.4	1000	0.006	0.6	94.8	1000	0.001	0.4	94.0	1000	0.006	0.9	93.1	1000
5	FPAFT-df=7	0.003	0.3	94.3	1000	0.001	0.1	94.3	1000	0.002	0.4	94.6	1000	0.005	1.3	93.9	1000
1	FPAFT-df=8	0.010	0.4	93.9	1000	0.001	.	94.3	1000	0.002	0.2	95.7	1000	0.009	0.4	92.9	1000
2	FPAFT-df=8	0.002	0.5	94.4	1000	0.002	0.3	93.0	1000	0.000	0.0	94.2	1000	0.007	0.5	91.0	1000
3	FPAFT-df=8	0.002	0.3	94.6	1000	0.002	0.2	94.2	1000	0.001	1.0	93.6	1000	0.008	0.8	91.1	1000
4	FPAFT-df=8	0.001	0.1	92.6	1000	0.006	0.6	94.8	1000	0.003	1.1	93.8	1000	0.008	1.3	91.3	1000
5	FPAFT-df=8	0.004	0.4	94.1	1000	0.002	0.2	93.9	1000	0.002	0.4	94.4	1000	0.006	1.6	93.8	1000
1	FPAFT-df=9	0.011	0.5	94.3	1000	0.001	.	92.3	1000	0.003	0.3	95.6	1000	0.012	0.5	91.7	1000
2	FPAFT-df=9	0.002	0.5	93.9	1000	0.001	0.2	93.5	1000	0.001	0.2	94.2	1000	0.010	0.7	89.8	1000
3	FPAFT-df=9	0.001	0.2	94.1	1000	0.002	0.2	94.2	1000	0.001	1.0	93.3	1000	0.010	1.0	90.7	1000
4	FPAFT-df=9	0.001	0.1	93.4	1000	0.006	0.6	95.2	1000	0.003	1.1	93.5	1000	0.010	1.6	89.3	1000
5	FPAFT-df=9	0.004	0.4	94.4	1000	0.002	0.2	93.9	1000	0.002	0.4	94.3	1000	0.008	2.2	91.9	1000