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Table 2 Results for X 1 and X 2 Continuous, λ = 2, Corr(X 1, X 2) = 0.70 and β 1 = β 2 = log(3)

From: Multiple imputation for handling missing outcome data when estimating the relative risk

Simulation scenario Method β 1 β 2
Bias Avg SE Emp SE Coverage MSE Bias Avg SE Emp SE Coverage MSE
Coordinated, prevalence =0.10 MVNI −0.56 0.48 0.39 0.838 0.47 −0.22 0.50 0.43 0.958 0.24
MVNI + deletion 0.01 0.58 0.55 0.965 0.30 −0.03 0.55 0.53 0.959 0.28
FCS −0.08 0.51 0.49 0.961 0.25 −0.14 0.50 0.48 0.950 0.25
FCS + deletion 0.02 0.58 0.55 0.964 0.30 −0.04 0.55 0.53 0.961 0.28
  CCA 0.01 0.66 0.67 0.943 0.45 0.01 0.53 0.55 0.936 0.30
Coordinated, prevalence =0.30 MVNI −0.26 0.26 0.20 0.890 0.11 −0.27 0.25 0.20 0.859 0.11
MVNI + deletion 0.01 0.31 0.26 0.978 0.07 −0.11 0.28 0.23 0.963 0.07
FCS −0.09 0.26 0.22 0.962 0.06 −0.24 0.24 0.21 0.878 0.10
FCS + deletion 0.02 0.31 0.26 0.980 0.07 −0.12 0.28 0.23 0.963 0.07
  CCA 0.02 0.32 0.32 0.951 0.11 0.00 0.25 0.26 0.950 0.07
Opposite, prevalence =0.10 MVNI −0.58 0.47 0.37 0.830 0.47 −0.17 0.48 0.42 0.961 0.21
MVNI + deletion 0.00 0.56 0.52 0.966 0.28 0.02 0.53 0.51 0.959 0.26
FCS −0.08 0.48 0.46 0.961 0.22 −0.07 0.49 0.47 0.959 0.22
FCS + deletion 0.01 0.56 0.52 0.971 0.27 0.01 0.53 0.51 0.962 0.26
CCA 0.00 0.60 0.62 0.939 0.39 0.01 0.48 0.50 0.938 0.25
Opposite, prevalence =0.30 MVNI −0.25 0.24 0.19 0.886 0.10 −0.07 0.26 0.20 0.981 0.05
MVNI + deletion 0.01 0.30 0.25 0.983 0.06 0.06 0.29 0.23 0.980 0.06
FCS −0.07 0.24 0.21 0.974 0.05 −0.02 0.26 0.22 0.980 0.05
FCS + deletion 0.02 0.29 0.25 0.983 0.06 0.05 0.29 0.23 0.982 0.06
CCA 0.00 0.29 0.29 0.945 0.08 0.01 0.23 0.22 0.949 0.05
  1. Abbreviations: MVNI multivariate normal imputation, FCS fully conditional specification, CCA complete case analysis, Avg SE average standard error, Emp SE empirical standard error, MSE mean square error