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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 1.

Simulation scenarios (n = 1000 with 1000 simulated data sets).

Data generation
 Measurement error correction
Scenario Number of
true signals		 Non-zero coefficients in multiple
linear regression models		 SD of error Number
of corrected covariates		 Validation
data
1 5 β1 = β2 = β3 = β4 = β5 = 1 0.50 1,2,3,4,5 10%
2 5 β1 = β2 = β3 = β4 = β5 = 1 0.50 1,2,3,4,5 20%
3 5 β1 = β2 = β3 = β4 = β5 = 1 1.00 1,2,3,4,5 10%
4 5 β1 = β2 = β3 = β4 = β5 = 1 1.00 1,2,3,4,5 20%
5 40 β1 = β2 = β3 = β4 = β5 = 1,
β6 = β7 =…= β40 ~ ∪ (0.1, 1)		 0.50 1,2,3,4,5 10%
6 40 β1 = β2 = β3 = β4 = β5 = 1,
β6 = β7 = … = β40 ~ ∪ (0.1, 1)		 0.50 1,2,3,4,5 20%
7 40 β1 = β2 = β3 = β4 = β5 = 1,
β6 = β7 = … = β40 ~ ∪ (0.1, 1)		 1.00 1,2,3,4,5 10%
8 40 β1 = β2 = β3 = β4 = β5 = 1,
β6 = β7 = …= β40 ~ U (0.1, 1)		 1.00 1,2,3,4,5 20%