Table 2.
A mixed model for repeated measures showing PUQE scores on days 3, 4, 5, and 15, using the ITT-E population
| Nature of statistic | N | Diclegis LS Mean | Placebo LS Mean | Estimated treatment effect (Diclegis minus placebo) | 95% confidence interval | P value |
|---|---|---|---|---|---|---|
| Number of Observations Used | 920 | |||||
| Number of Subjects Included in Analysis | 252 | |||||
| Overall Tests of Fixed Effects | ||||||
| TRT | 0.0004 | |||||
| DAY | <.0001 | |||||
| TRT*DAY | 0.3374 | |||||
| BASELINE | <.0001 | |||||
| Treatment Effects by Day | ||||||
| Day 3 | –3.03 | –2.15 | –0.88 | –1.43 to–0.33 | 0.0019 | |
| Day 4 | –3.45 | –2.51 | –0.95 | –1.48 to–0.41 | 0.0006 | |
| Day 5 | –3.81 | –3.05 | –0.76 | –1.29 to–0.24 | 0.0045 | |
| Day 15 | –5.00 | –4.60 | –0.40 | –0.86 to 0.06 | 0.0867 | |
LS Mean Least Squares Mean
The change from baseline in PUQE score was the dependent variable, and treatment, study day, and treatment by study day interaction were included as categorical fixed effects, and the baseline score was included as a continuous fixed effect. The correlation between measures on different days within the same subject was modeled with an unstructured covariance matrix. Least squares means for the change from baseline at each treatment and timepoint were calculated from the model, along with the estimated treatment effect (Diclegis minus placebo) at each timepoint and its 95% confidence interval and P value