Exact(60)
We used a fixed-effects model to calculate effect estimates when the I-test for heterogeneity was less than 30%.
The use of different instruments to measure joint pain made it necessary to calculate effect sizes as a common measure of effectiveness to ensure comparability between outcomes assessed with different instruments.
These also provide some information about all included studies and at least some information on effectiveness for studies that reported insufficient data to calculate effect sizes.
It was possible to calculate effect sizes from 33 reviews.
Cohen's d statistic was used to calculate effect size, with.2 generally considered a small effect size,.5 a medium effect size, and.8 a large effect size.
(1) Test whether FamHFcare intervention could reduce patients' heart failure (HF -related reHF -relatedtions and imprehospitalizationsver outcomes; (2) candulate effect simprovecaregiver outcomes; and (3) evaluate the familyare.
Means and standard errors were extracted from 32 papers containing data on the response of four understory functional groups (herbaceous, shrub, non-native, and total) to thinning and burning treatments to calculate effect sizes.
The criteria for clinical significant improvement was to have a score below 43.3 (closer to healthy population than to SAD population [53] and the reliable change criterion was established using the test-retest reliability coefficient of.97 [34]. Cohen's d based on pooled standard deviations was used to calculate effect sizes.
Two studies were missing data required to calculate effect sizes.
Cohen's d was used to calculate effect size [ 31].
Random effects models were used to calculate effect sizes (14).
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