Academic Projects

Meta-analysis

Effect sizes, pooled models, heterogeneity, subgroup and sensitivity analysis, forest and funnel plots — with the assumptions stated.

Teal glass distribution curve and small teal and brass spheres on an ivory platform.

Pooling studies is the easy part. The judgement is in whether they should be pooled at all, which model to use, and how to report heterogeneity honestly.

We compute effect sizes from whatever the papers report — means and SDs, odds ratios, correlations, or test statistics — fit fixed or random-effects models with justification, and run subgroup and sensitivity analyses that test whether the result holds.

Work is done in R (metafor, meta), Stata or RevMan, and you receive the script so the analysis is reproducible and defensible at viva.

What you receive

  • Effect size extraction and conversion table
  • Pooled estimate with the model choice justified
  • Heterogeneity statistics (Q, I², τ²) with interpretation
  • Subgroup, meta-regression and sensitivity analyses
  • Forest and funnel plots, publication bias tests
  • Reproducible analysis script

Questions about Meta-analysis

That is normal. Many effect sizes can be reconstructed from test statistics, confidence intervals or figures; where they genuinely cannot, we document the exclusion.

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Next step

Ready to talk about Meta-analysis?

Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.

  • Fixed quote agreed before any work begins
  • A reference number you can quote on WhatsApp
  • Confidential handling, and an NDA if you want one
  • An honest answer if your deadline is not realistic
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