Table 3 Summary of parameter estimates obtained after multiple imputation of 50% simulated missing data
From: Estimating range of influence in case of missing spatial data: a simulation study on binary data
Data 1 | N | Intercept (SD) | RMeSE 2 | Covariate 3(SD) | RMeSE 2 | σ 2 (SD) | RMeSE 2 | Range 4(SD) | RMeSE 2 |
|---|---|---|---|---|---|---|---|---|---|
MCAR | 732 | -4.1 (0.33) | 0.28 | 0.61 (0.062) | 0.041 | 0.14 (0.16) | 0.35 | 11.9 (16.3) | 3.5 |
MAR0 | |||||||||
OR=1/3 | 963 | -4.2 (0.33) | 0.19 | 0.64 (0.064) | 0.039 | 0.20 (0.16) | 0.30 | 10.1 (7.4) | 3.2 |
OR=3 | 628 | -4.0 (0.33) | 0.29 | 0.58 (0.063) | 0.049 | 0.12 (0.18) | 0.37 | 11.9 (21.3) | 3.7 |
MAR1 | |||||||||
OR=1/3 | 998 | -5.5 (0.44) | 1.20 | 0.87 (0.079) | 0.25 | 0.33 (0.21) | 0.16 | 9.8 (5.3) | 3.0 |
OR=3 | 625 | -3.3 (0.28) | 1.03 | 0.36 (0.057) | 0.26 | 0.10 (0.18) | 0.40 | 9.3 (20.3) | 4.3 |
MNAR | |||||||||
OR=1/3 | 772 | -3.6 (0.29) | 0.69 | 0.59 (0.054) | 0.037 | 0.15 (0.14) | 0.35 | 13.3 (14.1) | 3.1 |
OR=3 | 636 | -4.6 (0.42) | 0.47 | 0.61 (0.078) | 0.063 | 0.14 (0.22) | 0.35 | 10.0 (16.2) | 4.4 |