2006
DOI: 10.1007/s11135-006-9057-z
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Using Clinical Trials to Benchmark Effects Produced in Clinical Practice

Abstract: benchmarking, efficacy and effectiveness, meta-analysis, psychotherapy, clinical practice,

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Cited by 87 publications
(123 citation statements)
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“…Between-group differences were estimated, both in terms of mean and adjusted PHQ-9 change scores and as standardized effect sizes (Cohen's d). Within-group effect sizes were also calculated using the method proposed by Minami, Serlin, Wampold, Kircher, and Brown (2008); this estimate is comparable to Cohen's d, computed for repeated measures and weighted by sample size.…”
Section: Secondary Analysesmentioning
confidence: 99%
“…Between-group differences were estimated, both in terms of mean and adjusted PHQ-9 change scores and as standardized effect sizes (Cohen's d). Within-group effect sizes were also calculated using the method proposed by Minami, Serlin, Wampold, Kircher, and Brown (2008); this estimate is comparable to Cohen's d, computed for repeated measures and weighted by sample size.…”
Section: Secondary Analysesmentioning
confidence: 99%
“…As suggested by Minami et al (2008), the initial SD was used for standardization rather than a pooled SD. ESs are presented as Cohen's d (Cohen, 1988) computed for repeated measures and adjusted for the pre-post measure correlation.…”
Section: Outcomes Effect Size Calculationmentioning
confidence: 99%
“…They can be compared across studies using meta-analysis, they are helpful for benchmarking the effectiveness of routine interventions, they can be easily interpreted using conventional definitions of small, moderate and large effects, they can inform sample size calculations for future studies, etc. (Minami et al, 2008;Cohen, 1998).…”
Section: Discussionmentioning
confidence: 99%