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We tested for differences between comparison subjects, remitted depressed, and nonremitted depressed subjects using analysis of covariance (ANCOVA).
In addition, a number of factors were analyzed, which could result in statistically significant differences between comparison groups that are due to chance alone, although the coherent picture presented by these differences suggests otherwise.
Changes in the levels of 21 selected cytokines and chemokines were monitored in the immunized and challenged mice shown in figure 1. Differences between comparison groups were considered to be significant at P<0.05 or P<0.0045 as appropriate.
Five trials reported on follow-up rates[15], [16], [18] [20] and in those trials, between 77 and 92% of participants completed the trial, without any significant differences between comparison groups.
There were no differences between comparison groups.
Three studies (22– 24) found no significant differences between comparison diets.
Similar(40)
While differences between comparisons of Xm and Xp to controls might suggest an imprinting effect, no significant differences were found when the two subgroups were directly compared to each other.
The differences between comparisons were considered significant if P-values were <0.05.
Due to previous conflicting outcomes and methodological differences, between-population comparisons were performed using similar measurements.
A relative risk of one indicates no difference between comparison groups.
Assuming that PIDiff represents the "true" difference between comparison groups, ESPI-ALL and ESPI-RED indicate misestimation of group differences by using ALLDiff or REDDiff.
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