Table 1.
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 |
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