Research Article

The Adjustment of Covariates in Cox’s Model under Case-Cohort Design

Table 1

.

(%)Type
BiasSMSESDSECPBiasSMSESDSECP

150−0.01020.09650.09600.09920.9650.01460.10940.10850.11180.961
−0.00740.09610.09580.09780.959−0.11580.14990.09510.09750.742
−0.01000.09600.09550.09900.9640.00500.11050.11040.11260.955
−0.01450.10510.10420.10530.9500.01150.11670.11620.11890.960
−0.00030.09680.09680.10300.956−0.11990.15750.10220.10240.724
−0.00140.09710.09710.10410.964−0.00460.12010.12010.11970.950
−0.00980.11140.11100.11530.9610.02370.13060.12850.13280.957
−0.00940.10960.10930.11410.962−0.11290.15630.10810.11160.802
−0.00960.11130.11090.11520.9630.01060.12920.12880.13260.954
200−0.00900.08150.08100.08780.9690.00840.09910.09880.09920.943
−0.00510.08070.08060.08680.971−0.12270.14970.08580.08520.669
−0.00910.08180.08140.08770.9680.00060.10120.10130.09940.944
−0.00490.08990.08980.09260.9510.00050.10070.10080.10550.963
−0.00270.09280.09280.09140.940−0.12740.15600.09000.08970.666
−0.00480.09500.09490.09230.941−0.00260.10630.10630.10610.949
−0.00940.10350.10310.10360.9540.01170.11740.11690.11960.962
−0.00890.10380.10350.10270.949−0.12290.15630.09650.09860.720
−0.00850.10340.10310.10340.953−0.00050.11510.11520.11880.960
300−0.00290.07320.07320.07370.9510.00600.08480.08470.08500.954
−0.00080.07250.07260.07300.941−0.12410.14320.07140.07120.561
−0.00230.07270.07270.07360.950−0.00460.08440.08430.08480.952
−0.00540.08040.08030.07950.9480.00690.09020.09000.09290.959
−0.00250.07680.07680.07920.953−0.13250.15320.07680.07610.568
−0.00360.07640.07630.07980.954−0.01140.09270.09210.09210.947
−0.00340.09120.09120.09100.9580.00620.11050.11030.10780.950
−0.00230.09020.09020.09040.961−0.13080.15750.08770.08610.632
−0.00370.09080.09070.09090.957−0.00690.10930.10910.10630.947

150−0.00670.11070.11050.10920.9480.01030.12050.12010.12300.958
−0.00370.11100.11100.10780.943−0.11700.15710.10490.10820.773
−0.00600.10980.10970.10910.9480.00010.11980.11990.12380.958
−0.00400.11110.11110.11430.9660.01610.13160.13060.13070.952
−0.00010.11040.11050.11270.958−0.11830.16060.10870.11390.798
−0.00360.11090.11090.11410.9640.00690.13030.13020.13140.951
−0.00750.12420.12400.12540.9540.01020.14450.14420.14330.954
−0.00620.12280.12270.12380.954−0.12590.17370.11970.12160.784
−0.00660.12340.12330.12510.952−0.00370.14340.14340.14330.947
2000.00160.09110.09110.09440.9510.00760.10220.10200.10740.957
0.00560.09160.09150.09320.952−0.12130.15210.09170.09340.710
0.00210.09180.09180.09430.954−0.00180.10240.10250.10780.959
−0.00620.09710.09700.10110.9650.01160.11390.11330.11600.956
−0.00330.09730.09730.10000.959−0.11980.15420.09710.09970.747
−0.00600.09700.09690.10100.9640.00010.11410.11420.11640.946
−0.00630.10600.10590.11240.9560.01170.12780.12730.12970.958
−0.00500.10610.10600.11130.957−0.12120.16080.10560.10850.746
−0.00690.10640.10620.11230.959−0.00070.12530.12540.12960.956
300−0.00080.07630.07640.07900.9640.00360.08800.08790.09090.963
0.00240.07580.07580.07830.961−0.12380.14580.07700.07740.604
−0.00030.07660.07670.07890.963−0.00480.08860.08860.09090.959
−0.00330.08710.08710.08540.9480.01200.09910.09850.09890.951
0.00020.08620.08620.08470.949−0.12270.14790.08270.08250.660
−0.00280.08700.08700.08530.9480.00180.09790.09790.09870.942
−0.01270.09350.09270.09780.9690.01170.11490.11440.11410.945
−0.01100.09330.09270.09700.961−0.12720.15750.09290.09300.676
−0.01190.09290.09220.09770.967−0.00140.11250.11260.11310.946

Note: denotes the estimator calculated based on the covariates without distorting factors, denotes the estimator calculated based on the covariates with distorting factors, and denotes the estimator calculated based on the adjusted covariates with distorting factors. Algorithm: MM algorithm.