A data-analytic strategy is proposed for identifying the symptom-speci
fic effects of each medication in a clinical trial. The within-group e
ffect size is a standardized ratio of the pre-post change relative to
the stability of change for each treatment group. Advantages of using
this descriptive approach are illustrated by examining antidepressant
effects of alprazolam, imipramine, and placebo in a clinical trial for
patients meeting criteria for both panic disorder and depression. The
re was a significant difference between active medication and placebo
on the Hamilton Rating Scale for Depression (HAM-D) total, but no diff
erence between the antidepressant effects of the active medications de
spite their diverse psychopharmacologic properties. Examination of eff
ect sizes for each HAM-D item revealed distinct symptom-specific effec
ts of each active medication in this study sample. Although these desc
riptive findings cannot be used for inferential conclusions, they can
be used to guide the design of future trials.