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We resorted to visual inspection of the funnel plot, and contour enhanced funnel plots27, where contour lines indicate regions where a test of treatment effects was significant for various established levels for statistical significance.
A more sensitive test of treatment effects was provided by Model (5) which used the pre-treatment resin pocket occurrence in each tree to improve the precision of estimates obtained during the treatment period.
The two-sided p-value for the log-rank test of treatment effect was 0.121.
The overall test of treatment type for diagnosis of new depression was also significant (χ2 = 19.7, p<0.0001).
Only these households could effectively contribute to a test of treatment difference, which limited the power to detect a difference.
An overall test of treatment type indicated it did have a significant effect on diagnosis of dementia (χ2 = 6.05, p = 0.048).
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The breadth of rehabilitation treatment requires that many different theoretical perspectives be incorporated into the design and testing of treatment interventions.
All tests of treatment effects will be conducted using a two-sided alpha level of 0.05.
With p < 0.05 we ran one-tailed tests of treatment effects on the headache measures and we augmented interpretation of the observed p-values with the corresponding effect sizes (Cohen's ES = |M1-M2| ÷ SD pooled; [32]).
To address biological hypotheses we performed statistical tests of treatment differences controlling for biological variability, quantified in ANOVA by the ratio of mean squares, MStrt/MSbiol.
Note that the latter analysis corresponds to the familiar paired t-test of treatment effect.
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