Table 1 Simulation Study Comparing BNSV, CLM, Frailty and GLMM Models: Posterior Mean Marginal Slope Estimates, Bias (Relative Bias), Variance and Mean Squared Error (MSE)
From: A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout
| Â | Normal (i) | Normal (ii) | ||||||
|---|---|---|---|---|---|---|---|---|
Method | Slope | Bias | Var. | MSE | Slope | Bias | Var. | MSE |
BNSV | -0.64 | 0.06(9%) | 0.01 | 0.02 | 0.35 | -0.002 (-1%) | 0.01 | 0.01 |
CLM | -0.45 | 0.25 (36%) | 0.003 | 0.06 | 0.30 | -0.05 (-14%) | 0.03 | 0.03 |
Frailty | -0.52 | 0.19 (27%) | 0.004 | 0.04 | 0.16 | -0.19 (-54%) | 0.01 | 0.04 |
GLMM | -0.21 | 0.49 (70%) | 0.001 | 0.24 | 0.65 | 0.31(89%) | 0.002 | 0.10 |
| Â | Binary (i) | Binary (ii) | ||||||
Method | Slope | Bias | Var. | MSE | Slope | Bias | Var. | MSE |
BNSV | 7.49 | 0.13 (2%) | 0.19 | 0.20 | 6.67 | -0.05 (-1%) | 0.17 | 0.18 |
CLM | 8.02 | 0.66 (9%) | 0.11 | 0.54 | 6.47 | -0.24 (-4%) | 0.14 | 0.20 |
Frailty | 8.14 | 0.78 (11%) | 0.14 | 0.75 | 6.04 | -0.96 (-14%) | 0.18 | 1.11 |
GLMM | 9.09 | 1.74 (24%) | 0.09 | 3.11 | 8.56 | 1.85 (28%) | 0.14 | 3.55 |