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Table 1 Results for X 1 and X 2 Binary, λ = 2, RR(X 1, X 2) = 2 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 −0.08 0.30 0.28 0.951 0.08 −0.28 0.35 0.28 0.896 0.15
MVNI + deletion 0.06 0.30 0.31 0.955 0.10 −0.09 0.39 0.35 0.956 0.13
FCS 0.02 0.30 0.31 0.955 0.10 0.00 0.40 0.40 0.962 0.16
FCS + deletion 0.02 0.30 0.31 0.948 0.09 0.01 0.40 0.40 0.962 0.16
  CCA 0.01 0.34 0.34 0.953 0.12 0.03 0.40 0.40 0.964 0.16
Coordinated, prevalence =0.30 MVNI 0.03 0.16 0.15 0.952 0.02 −0.32 0.17 0.16 0.547 0.13
MVNI + deletion 0.05 0.16 0.16 0.948 0.03 −0.15 0.20 0.19 0.872 0.06
FCS 0.03 0.16 0.16 0.951 0.03 −0.11 0.20 0.21 0.893 0.05
FCS + deletion 0.02 0.16 0.16 0.955 0.02 −0.06 0.21 0.21 0.932 0.05
  CCA 0.01 0.17 0.17 0.953 0.03 0.01 0.21 0.22 0.949 0.05
Opposite, prevalence =0.10 MVNI −0.08 0.29 0.28 0.949 0.08 −0.26 0.34 0.26 0.908 0.13
MVNI + deletion 0.05 0.30 0.30 0.955 0.09 −0.07 0.37 0.33 0.964 0.11
FCS 0.01 0.30 0.31 0.952 0.10 0.03 0.39 0.39 0.963 0.16
FCS + deletion 0.01 0.30 0.31 0.950 0.09 0.05 0.39 0.40 0.964 0.16
CCA 0.03 0.39 0.41 0.956 0.17 0.03 0.39 0.39 0.965 0.15
Opposite, prevalence =0.30 MVNI 0.00 0.00 0.15 0.961 0.02 −0.20 0.18 0.16 0.805 0.06
MVNI + deletion 0.03 0.16 0.15 0.961 0.02 −0.02 0.20 0.19 0.952 0.03
FCS 0.00 0.16 0.16 0.951 0.02 0.01 0.20 0.20 0.948 0.04
FCS + deletion −0.02 0.16 0.15 0.949 0.02 0.07 0.21 0.21 0.947 0.05
CCA 0.01 0.20 0.20 0.952 0.04 0.02 0.20 0.20 0.952 0.04
  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