Research Article

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

Table 2

.

(%)Type
BiasSMSESDSECPBiasSMSESDSECP

150−0.00480.09980.09980.10380.9650.01470.11900.11810.12280.968
0.00050.09870.09880.10160.969−0.19210.21700.10090.10420.513
−0.00380.10050.10050.10380.963−0.00100.12370.12370.12360.944
−0.01410.10820.10740.11080.9590.01100.13200.13160.13180.955
−0.00910.10420.10380.10870.964−0.19800.22580.10860.10880.517
−0.01370.10780.10700.11060.959−0.00580.13510.13510.13220.947
−0.00600.11270.11260.12070.9740.01100.14620.14590.14460.953
−0.00380.11000.11000.11850.975−0.20560.23630.11650.11600.537
−0.00570.11390.11380.12040.967−0.01590.14530.14450.14430.946
200−0.01050.09410.09360.09140.9490.01050.10890.10850.10920.953
−0.00170.09290.09290.08970.954−0.19690.21500.08630.09060.382
−0.00950.09370.09330.09130.948−0.00720.11110.11090.10970.949
−0.00830.09730.09700.09790.9580.01150.10880.10830.11770.964
−0.00350.09550.09550.09600.954−0.19900.21780.08860.09490.446
−0.00790.09790.09770.09770.956−0.00870.11250.11220.11720.953
−0.00460.10640.10640.10840.9560.01220.12640.12590.13260.971
−0.00220.10560.10570.10670.953−0.20180.22780.10570.10400.461
−0.00360.10600.10600.10820.957−0.01400.12810.12730.13120.959
300−0.00250.07760.07760.07650.9530.00880.09320.09280.09280.955
0.00380.07660.07660.07520.955−0.20000.21390.07580.07450.260
−0.00110.07730.07740.07630.958−0.00900.09570.09530.09230.945
−0.00370.08330.08330.08320.9470.00840.10410.10380.10240.947
0.00110.08220.08220.08190.945−0.20780.22230.07910.07910.257
−0.00270.08380.08380.08310.951−0.01450.10510.10420.10110.934
−0.00350.09590.09590.09510.9540.00260.11530.11530.11810.949
0.00010.09610.09610.09400.949−0.21350.23020.08610.08850.326
−0.00210.09560.09570.09500.953−0.01950.11860.11700.11600.936

150−0.00900.11230.11200.11370.9520.01310.12750.12690.13380.954
0.00060.11100.11110.11150.951−0.18900.22090.11440.11510.579
−0.00730.11110.11090.11350.953−0.00320.13020.13030.13500.951
−0.01090.12070.12030.12080.9490.01770.13960.13860.14340.962
−0.00850.11910.11880.11800.953−0.18640.22250.12160.12050.589
−0.01060.11980.11940.12050.946−0.00120.13870.13880.14390.950
−0.01240.12870.12810.13230.9610.01580.16310.16240.15650.949
−0.01380.12770.12700.12960.955−0.19390.23050.12480.12920.621
−0.01510.12940.12860.13170.956−0.00720.15570.15560.15720.955
200−0.01150.09940.09880.09860.9510.01620.12030.11930.11840.959
−0.00250.09410.09410.09630.956−0.19090.21540.09990.09910.492
−0.01090.09880.09830.09830.953−0.00110.12140.12150.11880.939
−0.00070.10090.10100.10500.9600.00910.12600.12580.12690.954
0.00360.10080.10080.10310.957−0.19550.22180.10480.10420.489
−0.00090.10120.10120.10500.955−0.00810.12800.12780.12720.949
−0.00510.11050.11050.11760.9620.01570.14840.14770.14290.943
−0.00110.10820.10820.11550.970−0.19960.23000.11440.11420.540
−0.00450.11030.11030.11730.961−0.01110.14340.14300.14160.941
300−0.00670.07990.07970.08180.9520.00560.09340.09330.09890.962
0.00080.07890.07900.08050.948−0.19690.21140.07690.08070.322
−0.00580.08000.07980.08170.947−0.01120.09620.09560.09880.952
−0.00830.08600.08570.08940.9570.00810.10630.10610.10820.961
−0.00040.08540.08550.08790.965−0.20180.21940.08610.08640.352
−0.00720.08670.08640.08930.959−0.01150.10790.10730.10780.950
−0.00820.09660.09630.10070.9610.01250.12230.12170.12590.963
−0.00340.09480.09480.09910.951−0.20120.22190.09350.09640.428
−0.00600.09640.09630.10060.955−0.01120.12060.12010.12390.954

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 calculate based on the adjusted covariates with distorting factors. Algorithm: MM algorithm.