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Clinical and statistical heterogeneity of the included studies are explored by the additional tools of fixed effect versus random effects models and subgroup analyses.
Results are remarkably consistent across different models and subgroup analyses.
Extracted data were pooled by means of both random and fixed effects models, and subgroup analyses were carried forward to compare findings in ICU versus non-ICU patients.
The number of deaths observed in this study was low, and challenges statistical power, particularly in the multivariate models and subgroup analyses.
Furthermore, results of age-adjusted models and subgroup analyses by age-stratum were consistent with the analyses in the fully-adjusted models (Table 4).
The influence of potential moderators, such as crop/food type (fruits, vegetables, cereals, oil seeds and pulses, herbs and spices, and crop-based compound foods), was additionally tested using mixed-effect models and subgroup analyses.
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Meta-analysis (with a fixed-effects model) and subgroup analysis were performed by research design and meta-regression was performed by continuous moderator.
In 2002, Higgins et al. [ 7] investigated the newest Cochrane reviews and tested if heterogeneity was present, and collected information about choice of model and subgroup analyses.
17 18 Statistical heterogeneity was estimated using the I statistic; a value of >50% indicates substantial statistical heterogeneity, and additional estimates from a fixed effects model and subgroups of higher study quality will be reported if the magnitude of the overall estimate is influenced significantly.
The large sample size enabled extensive model refinement and subgroup analyses in three ways.
Taking into account model identity and subgroup structure in the transmission patterns may be the next steps.
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