Table 3:
Standard Error estimates of the fixed effects comparing separate (sGLMM) versus joint (mGLMM) under the random intercept and slope (RIS) framework for real data
| Method | Parameter | Intercept | Time | Age | Male | Age*Male |
|---|---|---|---|---|---|---|
| sGLMM (RIS) |
01k | 3.268 | 0.0505 | 0.0491 | 5.197 | 0.078 |
| 02k | 3.268 | 0.0505 | 0.0491 | 5.197 | 0.078 | |
| 03k | 3.284 | 0.0517 | 0.0493 | 5.226 | 0.078 | |
| 04k | 3.987 | 0.0507 | 0.0599 | 6.341 | 0.095 | |
| 06k | 3.996 | 0.0520 | 0.0600 | 6.362 | 0.095 | |
| 08k | 3.735 | 0.0585 | 0.0560 | 5.945 | 0.089 | |
| 09k | 3.740 | 0.0594 | 0.0561 | 5.957 | 0.089 | |
| 10k | 3.744 | 0.0601 | 0.0562 | 5.963 | 0.089 | |
| 11k | 2.966 | 0.0662 | 0.0450 | 4.734 | 0.072 | |
| 12k | 2.993 | 0.0715 | 0.0456 | 4.786 | 0.073 | |
| 14k | 3.042 | 0.1023 | 0.0470 | 4.909 | 0.077 | |
| mGLMM (SPRIS) |
01k | 3.254 | 0.0484 | 0.0488 | 5.176 | 0.078 |
| 02k | 3.254 | 0.0484 | 0.0489 | 5.176 | 0.078 | |
| 03k | 3.267 | 0.0494 | 0.0491 | 5.201 | 0.078 | |
| 04k | 3.977 | 0.0517 | 0.0597 | 6.324 | 0.095 | |
| 06k | 3.987 | 0.0530 | 0.0599 | 6.348 | 0.095 | |
| 08k | 3.732 | 0.0586 | 0.0560 | 5.940 | 0.089 | |
| 09k | 3.738 | 0.0596 | 0.0561 | 5.953 | 0.089 | |
| 10k | 3.742 | 0.0601 | 0.0562 | 5.959 | 0.089 | |
| 11k | 2.968 | 0.0660 | 0.0450 | 4.737 | 0.072 | |
| 12k | 2.996 | 0.0716 | 0.0457 | 4.792 | 0.073 | |
| 14k | 3.049 | 0.1038 | 0.0471 | 4.922 | 0.077 |
RIS- random intercept and slope; GLMM- generalized linear mixed model, age at entry