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For each predictor, the Spearman's rank sum correlation with subjects' recall performance was calculated for individual subjects, and then the correlation coefficients of all subjects were integrated by using random effect analysis [39].
20 Outcomes were analysed on an intention to treat basis by using random effect models.
Outcome data was analysed by using random effect model or fixed effect model in accordance with heterogeneity.
Internal consistency (analyzed by inter-item correlations) and Cronbach's alpha was calculated for scores at time 1 and time 2. Test-retest reliability was analyzed by the intraclass correlation (ICC) coefficient between scores obtained at time 1 and 2. ICC was calculated by using random effect two-way ANOVA with absolute agreement (ICC2.1) [ 35].
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Trials were combined by using random effects meta-analysis.
We took into account heterogeneities across registries by using random effects models.
We will address the anticipated heterogeneity by using random effects meta-analysis models.
This was investigated across trials by using random effects meta-regression models with inverse variance weighting.
Dependencies within the repeated measurements of an individual are dealt with by using random effects.
All pooled effects were calculated as mean difference in weight change by using random effects model (inverse-variance approach).
5 We pooled results from individual trials by using random effects, inverse variance, weighted meta-analysis (DerSimonian-Laird method 14).
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