
Meta-Analysis — Systematic Evidence Synthesis & Forest Plot
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5 days
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What you get with this Offer
I will conduct a statistical meta-analysis for your systematic review — calculating pooled effect sizes using fixed or random effects models, assessing heterogeneity (I², Q statistic, Tau²), producing a publication-quality forest plot, conducting moderator analysis (subgroup or meta-regression), and assessing publication bias (Egger's test, funnel plot) — using the metafor package in R or Comprehensive Meta-Analysis software. Meta-analysis requires careful decisions about effect size calculation, heterogeneity model selection, and publication bias assessment that are routinely made incorrectly in published systematic reviews — undermining the validity of pooled conclusions that appear precise but are statistically unjustified.
The analysis covers effect size extraction from included studies, missing SD imputation where required, fixed vs. random effects model selection with justification, pooled effect size with 95% CI, forest plot with study weights, heterogeneity statistics, subgroup analysis for specified moderators, Egger's test and funnel plot for publication bias, and a results section suitable for systematic review manuscript submission.
Designed for clinical researchers, psychologists, public health scientists, and economists conducting evidence synthesis requiring rigorous statistical meta-analysis.
The analysis covers effect size extraction from included studies, missing SD imputation where required, fixed vs. random effects model selection with justification, pooled effect size with 95% CI, forest plot with study weights, heterogeneity statistics, subgroup analysis for specified moderators, Egger's test and funnel plot for publication bias, and a results section suitable for systematic review manuscript submission.
Designed for clinical researchers, psychologists, public health scientists, and economists conducting evidence synthesis requiring rigorous statistical meta-analysis.
What the Freelancer needs to start the work
Please share your extracted study data (effect sizes or raw data for calculation, sample sizes, standard errors), your effect size type (d, r, OR, RR, MD), your moderators of interest, your R version preference, and your target journal's reporting guidelines.
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