. Author manuscript; available in PMC: 2020 Jul 31.

Published in final edited form as: J Am Stat Assoc. 2019 Apr 22;115(529):204–216. doi: 10.1080/01621459.2018.1537922

Table 1.

Results on covariate selection based on current status data data with Λ₀(t) = t

Method	MMSE(SD)	TP	FP	MMSE(SD)	TP	FP
n = 100 and p_n = 10
	20% right-censored			40% right-censored
BAR	0.349 (0.744)	3.460	0.704	0.359 (0.536)	3.376	0.754
LASSO	0.296 (0.171)	3.804	1.656	0.282 (0.169)	3.822	1.736
ALASSO	0.345 (0.272)	3.408	1.100	0.350 (0.310)	3.310	1.074
MCP	0.472 (1.865)	3.094	0.704	0.473 (1.165)	3.054	0.746
SCAD	0.483 (0.700)	3.096	0.828	0.481 (0.553)	2.998	0.640
SELO	0.483 (1.692)	3.318	0.932	0.475 (1.371)	3.294	1.040
SICA	0.463 (1.562)	3.206	0.810	0.457 (1.352)	3.188	0.856
Oracle	0.203 (0.676)	4	0	0.189 (0.550)	4	0

n = 300 and p_n = 10
	20% right-censored			40% right-censored
BAR	0.062 (0.078)	3.954	0.286	0.062 (0.082)	3.934	0.246
LASSO	0.150 (0.067)	4	1.360	0.127 (0.067)	3.998	1.476
ALASSO	0.120 (0.117)	3.928	0.550	0.108 (0.117)	3.934	0.542
MCP	0.079 (0.117)	3.934	0.406	0.071 (0.116)	3.930	0.406
SCAD	0.078 (0.118)	3.944	0.662	0.075 (0.118)	3.922	0.596
SELO	0.075 (0.111)	3.928	0.404	0.073 (0.112)	3.934	0.440
SICA	0.077 (0.114)	3.952	0.444	0.075 (0.109)	3.958	0.522
Oracle	0.053 (0.085)	4	0	0.046 (0.086)	4	0

n=300 and p_n = 30
	20% right-censored			40% right-censored
BAR	0.074 (0.092)	3.876	0.330	0.072 (0.091)	3.882	0.378
LASSO	0.231 (0.081)	3.998	2.856	0.215 (0.081)	3.988	2.782
ALASSO	0.304 (0.210)	3.712	1.004	0.323 (0.210)	3.708	0.812
MCP	0.112 (0.196)	3.864	0.63	0.092 (0.174)	3.874	0.684
SCAD	0.216 (0.107)	3.83	0.984	0.227 (0.099)	3.832	1.016
SELO	0.093 (0.130)	3.864	0.530	0.085 (0.140)	3.864	0.634
SICA	0.104 (0.161)	3.834	0.640	0.086 (0.151)	3.858	0.716
Oracle	0.053 (0.077)	4	0	0.020 (0.047)	4	0