Table 1.
Regression results for varying assumption parameters. Model fit improves (i.e., QIC reduces) as conditions are included to improve the model. Categorization improves significance (p-values) but negatively impacts fit. Temporal windowing improves both.
| Analysis Of GEE Parameter Estimates | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Empirical Standard Error Estimates | |||||||||||
| Overall Regression (after prescription) | Classification of exposure | Upper Time Limit (90 Days) | Fully Windowed (7–90 days) | Windowed Unclassified | |||||||
| Parameter | Estimate | p-value | Estimate | p-value | Estimate | p-value | Estimate | p-value | Estimate | p-value | |
| Intercept | 83.5748 | <.000l | 83.4507 | <.0001 | 82.0536 | <.0001 | 84.2715 | <.0001 | 84.2508 | <.0001 | |
| Days From Presc. | −0.0002 | 0.3078 | −0.0000 | 0.9004 | 0.0048 | 0.0038 | 0.0104 | <.0001 | 0.0111 | <.0001 | |
| Age | −0.0945 | <.0001 | −0.0878 | <.0001 | −0.0729 | <.0001 | −0.1008 | <.0001 | −0.1017 | <.0001 | |
| Sex | M | 14.5919 | <.0001 | 14.4329 | <.0001 | 14.7893 | <.0001 | 14.1036 | <.0001 | 14.1146 | <.0001 |
| Sex (Ref.) | F | ||||||||||
| Exposure (mg) | −0.0001 | 0.8211 | −0.0010 | 0.0645 | |||||||
| Exposure (Classified) | Hi | −0.5607 | 0.3890 | −1.4034 | 0.0266 | −1.6381 | 0.0616 | ||||
| Exposure (Ref.) | Lo | ||||||||||
| Days*Exposure(mg) | −0.0000 | 0.6170 | 0.0000 | 0.0261 | |||||||
| Days*Exposure(Class) | Hi | −0.0003 | 0.2370 | 0.0158 | <.0001 | 0.0156 | 0.0055 | ||||
| Days*Exposure(Ref.) | Lo | ||||||||||
| QIC Value | 53904.1566 | 79020.4751 | 15669.6750 | 7335.3435 | 7335.9024 | ||||||