Table 4.
Multivariate analysis
| PANSS.Tot | PANSS.Pos | PANSS.Neg | PANSS.GP | PSP | |
|---|---|---|---|---|---|
| expetau | <0.001 | 0.002 | <0.001 | <0.001 | <0.001 |
| Age1 | 0.235 | 0.688 | 0.088 | 0.167 | 0.132 |
| Gender | 0.442 | 0.739 | 0.231 | 0.326 | 0.104 |
| Education | 0.114 | 0.032 | 0.15 | 0.532 | 0.946 |
| Participation | 0.015 | 0.195 | 0.123 | 0.006 | 0.375 |
| PANSS.Tot1 | 0.501 | 0.433 | 0.785 | 0.422 | 0.971 |
| PANSS.Pos1 | 0.461 | 0.666 | 0.876 | 0.636 | 0.771 |
| PANSS.Neg1 | 0.632 | 0.452 | 0.916 | 0.622 | 0.847 |
| PANSS.GP1 | 0.385 | 0.424 | 0.557 | 0.318 | 0.901 |
| PSP1 | 0.896 | 0.031 | 0.34 | 0.205 | 0.741 |
| CPZ.EQ1 | 0.549 | 0.837 | 0.743 | 0.481 | 0.327 |
| P value | 0.084 | 0.262 | 0.028 | 0.072 | 0.318 |
The table displays results of the multivariate analysis for the adjusted differences (improvement) of the four PANSS scores, and the PSP score, successively considered as response variables. Eleven potentially explanatory factors are considered. They include the exposure to the treatment, four descriptive variables, the values at V1 of the five variables of interest, and the level of treatment CPZ.EQ. The first 11 rows give the p value of the contribution to the complete linear model of each explanatory variable. On the last row, the p value of the two-way a nova of the simple linear regression against the full model is displayed.
Abbreviations: PANSS, Positive and Negative Syndrome Scale; PSP, Personal and Social Performance Scale; Bold values indicate the p-values significant at p<0.05.