Table 3.
a. when censoring depends on true covariate X
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# | P(X=1) | Total n | Event rate | Sensitivity/Specificity | Using accurate X | Using observed W | Validation data only | Multiple imputation | Regression calibration | Pooled estimation | Corrected score | MC-SIMEX |
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1 | 40% | 2000 | 20% | 0.9/0.7 (under-reporting) | 0 | −53 | 1 | −7 | −40 | −34 | 1 | −10 |
14/13 | 11/11 | 45/44 | 37/38 | 17/16 | 17/15 | 36/51 | 17/18 | |||||
2 | 29 | 20 | 14 | 19 | 14 | 13 | 4 | |||||
96 | 0 | 96 | 96 | 32 | 39 | 95 | 92 | |||||
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2 | 40% | 2000 | 5% | 0.9/0.7 | 1 | −59 | 18 | 4 | −47 | −41 | −5 | −4 |
30/29 | 21/21 | 89/95 | 70/82 | 32/31 | 31/30 | 63/81 | 39/37 | |||||
9 | 39 | 82 | 49 | 32 | 26 | 40 | 15 | |||||
95 | 20 | 83 | 97 | 66 | 70 | 98 | 95 | |||||
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9 | 40% | 1000 | 20% | 0.7/0.9 | 1 | −43 | −1 | −9 | −33 | −31 | 1 | −5 |
19/19 | 18/17 | 66/67 | 53/55 | 23/22 | 23/21 | 44/44 | 22/23 | |||||
4 | 22 | 44 | 29 | 16 | 15 | 19 | 5 | |||||
94 | 42 | 96 | 96 | 65 | 68 | 94 | 92 | |||||
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10 | 40% | 1000 | 5% | 0.7/0.9 | −3 | −47 | 45 | 36 | −39 | −33 | −8 | 0 |
43/42 | 39/38 | 83/118 | 86/108 | 48/47 | 46/45 | 79/90 | 56/54 | |||||
19 | 37 | 89 | 87 | 38 | 32 | 63 | 31 | |||||
96 | 78 | 60 | 94 | 90 | 86 | 98 | 97 | |||||
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11 | 16% | 5000 | 7% | 0.55/0.85 | −1 | −71 | −1 | −5 | −56 | −42 | −9 | −24 |
20/20 | 14/13 | 62/68 | 60/65 | 33/33 | 32/29 | 54/112 | 23/23 | |||||
4 | 52 | 38 | 36 | 42 | 28 | 30 | 11 | |||||
95 | 0 | 91 | 96 | 60 | 70 | 93 | 80 | |||||
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b. when censoring depends on true covariateW | ||||||||||||
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1 | 40% | 2000 | 20% | 0.9/0.7 (under-reporting) | 0 | −31 | 2 | −3 | −7 | −6 | 52 | −9 |
12/12 | 13/13 | 42/41 | 33/34 | 21/20 | 19/18 | 51/61 | 21/20 | |||||
1 | 11 | 18 | 11 | 5 | 4 | 53 | 5 | |||||
94 | 37 | 95 | 96 | 92 | 91 | 95 | 91 | |||||
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2 | 40% | 2000 | 5% | 0.9/0.7 | 3 | −28 | 20 | 6 | −6 | −2 | 42 | 0 |
25/24 | 27/28 | 86/85 | 75/72 | 44/43 | 40/38 | 83/57 | 43/41 | |||||
6 | 15 | 78 | 57 | 20 | 16 | 87 | 18 | |||||
96 | 81 | 90 | 93 | 95 | 95 | 44 | 96 | |||||
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9 | 40% | 1000 | 20% | 0.7/0.9 | 1 | −29 | −1 | −8 | −18 | −15 | 12 | −8 |
15/15 | 21/20 | 53/51 | 45/44 | 25/25 | 24/22 | 33/37 | 25/23 | |||||
2 | 13 | 28 | 21 | 9 | 8 | 12 | 7 | |||||
95 | 68 | 97 | 94 | 88 | 88 | 97 | 91 | |||||
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10 | 40% | 1000 | 5% | 0.7/0.9 | −1 | −38 | 10 | 9 | −28 | −20 | 10 | −5 |
30/30 | 46/45 | 81/100 | 87/94 | 56/56 | 49/49 | 64/70 | 48/48 | |||||
9 | 36 | 67 | 77 | 39 | 28 | 42 | 23 | |||||
94 | 92 | 84 | 96 | 96 | 95 | 97 | 97 | |||||
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11 | 16% | 5000 | 7% | 0.55/0.85 | −0 | −53 | −3 | −6 | −11 | −4 | −19 | −22 |
12/13 | 21/21 | 43/42 | 42/41 | 52/52 | 34/32 | 79/100 | 28/26 | |||||
1 | 33 | 19 | 18 | 28 | 12 | 66 | 13 | |||||
95 | 26 | 96 | 95 | 96 | 94 | 81 | 87 |
Simulation scenarios and numbers (#) are identical in Tables 1 and 3 except for how censoring time was generated. Here, censoring time wasgenerated as a function of covariate: Cnew=I(W=1)*C*0.5+I(W=0)*C*1.5 in Table 3a andCnew=I(X=1)*C*0.5+I(X=0)*C*1.5 in Table 3b.
Entry in each cell represents mean of bias (1st row), sample standard error/mean ofstandard error estimates (2nd row), mean squared error (3rd row), and coverageprobability (last row) for log(HR).
All numbers were multiplied by 100.
1000 simulations were conducted.
10% of total sample size (n) was selected for validation sample.
HR denotes hazards ratio.