Table 2.
Results of pattern-mixture model sensitivity analysis based on multiple imputationa.
| Model | Estimateb | P value |
| MARc | −0.34 | .002 |
| 0.20 | −0.31 | .004 |
| 0.50 | −0.28 | .01 |
| 0.80 | −0.24 | .03 |
| 1.10 | −0.20 | .08 |
| 1.40 | −0.17 | .16 |
aModels are based on varying assumptions regarding the meaning of missingness. Multiply imputed posttest values based on 100 imputations are offset [23] by varying amounts (ie, 0.20, 0.50, and residual SD).
bCoefficient for active group status (vs waitlist) predicting posttest distress scores controlling for pretest distress scores pooled across imputed data sets.
cMAR: missing at random (with no offset applied to posttest values).