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Sample size calculation was based on detecting a clinically and statistically significant effect size (±20%) on BAI scores from baseline, however both the NC and PT groups demonstrated significant reductions in BAI scores (NC 56.5%, PT 30.5%) thus minimizing the ability to detect the differential effect size [54].
Reporters were further filtered selecting those with a differential effect size of greater than or equal to 2-fold.
A realistic differential effect size for a definitive trial would be 0.3, which would require a sample size of 235 per group.
Thus, random assignment to the speed of processing intervention resulted in a net UFOV test improvement of about 220 ms more than any other group, a differential effect size of about 1.0.
Moderator analyses were conducted to determine the differential effect size of homework on treatment outcome by target symptoms (e.g., depression; anxiety), source of homework rating (e.g., client; therapist), timing of homework rating (e.g., retroactive vs. contemporaneous), and type of homework rating (e.g., Likert; total homeworks completed).
For the main parameters of interest, the differences of means, we assume that 80% of these equal exactly 0. The remaining 20% is simulated from four differential effect size distributions: Gamma 0.5, 0.75), halfNormal 0, 0.47), Gamma 0.25, 0.75) and halfNormal 0, 0.25).
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The meta-analysis found differential effect sizes for different strategies including contingency management (.13-.29 .13-.29tive behavioral therapy (.02 to.20), and therapeuticognitivety (.18 to.53).
We examined whether there are differential effect sizes depending on children's body composition.
Evidently, our model should incorporate an explanation of these differential effect sizes, and we do that shortly.
One way to begin to address this question might be to quantify effects of some specific functional SNP at three different related levels, such as eQTL data from the hippocampus, hippocampal volume on MRI, and a behavior that is tightly dependent on hippocampal function; this may show the appropriate differential effect sizes in one framework.
The dendritic transcriptome may change dynamically with respect to different stimuli and context but previous work on conditioning, gene deletions, and drug treatment show differential expression effect sizes of less than 1,000 genes [ 42– 42].
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