Table 5.
Results from MLwiN for the random-effects logistic regression model using orthogonal predictors and 250000 iterations thinned by factor 10
| Parameter | Estimate† | ESS |
|---|---|---|
| α0—constant | −4.040 (0.078) | 22714 |
| α1—duration6–11 | −0.071 (0.045) | 23931 |
| α2—duration12–23 | −0.124 (0.043) | 24136 |
| α3—duration24–35 | −0.035 (0.050) | 23303 |
| α4—duration≥36 | 0.022 (0.055) | 22457 |
| β1—age25–34 | −0.371 (0.033) | 23347 |
| β2—age35–49 | −0.671 (0.059) | 22779 |
| β3—method2 | −1.156 (0.058) | 22105 |
| β4—method3 | 0.495 (0.108) | 23533 |
| β5—method4 | 0.052 (0.062) | 24498 |
| β6—educ–primary | 0.029 (0.069) | 23816 |
| β7—educ–secondary+ | 0.224 (0.072) | 23428 |
| β8—urban | 0.114 (0.036) | 22860 |
| β9—ses–med | −0.117 (0.046) | 23697 |
| β10—ses–high | −0.191 (0.052) | 23624 |
 |
0.008 (0.006) | 20 |
†
Standard deviations are given in parentheses.