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. Author manuscript; available in PMC: 2020 Aug 26.
Published in final edited form as: Stat Methods Med Res. 2017 Nov 23;28(3):670–680. doi: 10.1177/0962280217734241

Table 4.

Non-sparse solution, moderate measurement error.

Scenarios Method Median of squared error
 Variable selection
W1b W2b W3b W4b W5b All Predictorsc True Positive
(mean)		 False Positive
(mean)
No validation dataa Uncorrected 0.053 0.053 0.055 0.054 0.053 1.225 39.887 33.700
Scenario 5: Uncorrected 0.046 0.053 0.055 0.054 0.053 1.212 39.884 33.718
  1 corrected, 10% Corrected 0.003 0.054 0.057 0.056 0.055 1.228 39.163 26.495
Scenario 5: Uncorrected 0.047 0.045 0.055 0.054 0.053 1.202 39.897 33.762
  2 corrected, 10% Corrected 0.004 0.004 0.058 0.057 0.056 1.206 39.086 24.439
Scenario 5: Uncorrected 0.046 0.045 0.048 0.053 0.053 1.202 39.887 33.715
  3 corrected, 10% Corrected 0.004 0.004 0.004 0.059 0.058 1.178 38.998 22.365
Scenario 5: Uncorrected 0.046 0.046 0.048 0.047 0.053 1.189 39.895 33.538
  4 corrected, 10% Corrected 0.004 0.005 0.005 0.005 0.059 1.161 38.925 20.472
Scenario 5: Uncorrected 0.046 0.045 0.048 0.047 0.046 1.181 39.897 33.569
  5 corrected, 10% Corrected 0.005 0.005 0.005 0.005 0.004 1.147 38.835 18.546
Scenario 6: Uncorrected 0.039 0.053 0.055 0.054 0.053 1.202 39.880 33.635
  1 corrected, 20% Corrected 0.003 0.054 0.057 0.055 0.055 1.220 39.170 26.733
Scenario 6: Uncorrected 0.040 0.040 0.056 0.054 0.053 1.189 39.892 33.652
  2 corrected, 20% Corrected 0.003 0.003 0.058 0.057 0.056 1.191 39.119 24.897
Scenario 6: Uncorrected 0.040 0.040 0.041 0.053 0.053 1.169 39.887 33.587
  3 corrected, 20% Corrected 0.003 0.003 0.003 0.058 0.058 1.158 39.055 23.358
Scenario 6: Uncorrected 0.040 0.040 0.041 0.040 0.053 1.155 39.897 33.67
  4 corrected, 20% Corrected 0.003 0.004 0.004 0.003 0.059 1.124 38.998 21.639
Scenario 6: Uncorrected 0.039 0.040 0.041 0.039 0.040 1.136 39.902 33.819
  5 corrected, 20% Corrected 0.004 0.004 0.004 0.003 0.004 1.092 38.925 20.140
a

The first row shows results for the error-prone model without validation data. This would represent the model with only multiplex data.

b

The covariates W1–W5 include validation data and represent the five of 100 covariates that may be corrected. These columns show the bias (MSE) for each of the individual estimates.

c

This column represents the MSE for all 100 covariates.