TABLE 2.
Model component (k = 1) | Parameter | True value | Conditional ignorability | Marginal ignorability |
---|---|---|---|---|
MSN regression | β111 | −2.90 | −3.03 (−3.70, −2.60) | −3.72 (−3.99, −3.45) |
β121 | −2.70 | −2.82 (−2.96, −2.69) | −2.87 (−2.92, −2.64) | |
β131 | −2.92 | −2.79 (−3.69, −2.43) | −3.76 (−4.04, −3.48) | |
β141 | −3.68 | −3.87 (−4.01, −3.73) | −3.83 (−3.96, −3.69) | |
β112 | −2.78 | −2.67 (−3.42, −2.24) | −3.57 (−3.86, −3.29) | |
β122 | −2.59 | −2.81 (−2.94, −2.67) | −2.87 (−2.91, −2.73) | |
β132 | −2.71 | −2.43 (−3.11, −2.15) | −3.44 (−3.70, −3.17) | |
β142 | −2.79 | −2.98 (−3.11, −2.84) | −2.97 (−3.10, −2.83) | |
Σ111 | 1.00 | 1.25 (0.84, 1.82) | 1.54 (1.31, 1.85) | |
Σ112 | 0.50 | 0.59 (0.19, 1.15) | 1.12 (0.91, 1.39) | |
Σ113 | 0.25 | 0.24 (0.11, 0.38) | 0.93 (0.73, 1.19) | |
Σ114 | 0.12 | 0.17 (0.08, 0.21) | 0.85 (0.65, 1.10) | |
Σ122 | 1.00 | 0.95 (0.49, 1.51) | 1.12 (0.91, 1.39) | |
Σ123 | 0.50 | 0.52 (0.14, 1.04) | 1.66 (1.40, 1.97) | |
Σ124 | 0.25 | 0.31 (0.12, 0.41) | 1.15 (0.92, 1.41) | |
Σ133 | 1.00 | 1.12 (0.81, 1.19) | 0.93 (0.73, 1.18) | |
Σ134 | 0.50 | 0.53 (0.24, 0.89) | 0.85 (0.65, 1.10) | |
Σ144 | 1.00 | 1.08 (0.61, 1.75) | 0.93 (0.73, 1.18) | |
α11 | −1.00 | −0.81 (−1.36, −0.05) | −1.91 (−2.17, −1.74) | |
α12 | −1.00 | −1.18 (−1.63, −0.03) | −1.22 (−0.75, −1.66) | |
α13 | −1.00 | −1.10 (−1.66, −0.14) | −1.50 (−2.25, −0.64) | |
α14 | −1.00 | −1.29 (−1.62, −0.37) | −1.43 (−1.88, −1.01) | |
Multinomial logita | δ11 | −0.54 | −0.53 (−0.75, −0.31) | −0.64 (−0.85, −0.43) |
δ12 | −0.01 | −0.02 (−0.33, 0.38) | −0.08 (−0.33, 0.28) | |
Missing data | γ11 | −1.10 | −1.06 (−1.40, −0.75) | / |
γ12 | −1.27 | −1.13 (−1.42, −0.86) | / | |
γ13 | −1.07 | −1.17 (−1.49, −0.87) | / | |
1.00 | 1.01 (0.86, 1.15) | / |
Note. Posterior means (95% CrIs) are presented for conditional ignorability and marginal ignorability. 10 000 iterations were run with a burn-in of 1000.
Multinomial logit parameters comparing cluster 1 to cluster 3 (reference cluster).
Slashes (/) indicate that estimates are not applicable.