I will do systematic review meta analysis data extraction and forest plots in r
Pharmacy Data and Research Specialist
About this Gig
Need a publication-ready meta-analysis for your medical or systematic review manuscript? Automated AI tools generate hallucinated statistics and incorrect models. I deliver human-verified, biostatistically sound quantitative synthesis using R and RStudio.
Services I povide:
*Effect Size Calculations: Risk Ratios (RR), Odds Ratios (OR), Mean Differences (MD), & Hazard Ratios (HR).
*Heterogeneity Analysis: Cochrane's Q, I^2 statistics, and \tau^2.
*Publication Visualizations: High-res Forest Plots and Funnel Plots.
*Publication Bias: Eggers test, Beggs test, & Trim-and-Fill.
*Advanced Modeling: Fixed vs. random-effects, subgroup analysis, & meta-regression using meta and metafor.
*PRISMA Alignment: Methodological write-ups tailored to medical journal standards.
Why Choose Me?
*PharmD Precision: Deep understanding of clinical endpoints and study designs.
*Reproducible Code: Clean, commented R scripts included with every order.
*Zero AI Errors: Every result is manually calculated and verified.
Send your Excel/CSV matrix to get started! Please message me before ordering for custom datasets.
FAQ
What input files do I need to provide to get started?
Please provide an Excel (.xlsx) or CSV file containing your extracted study data, including study titles, sample sizes, and primary outcome counts or effect sizes (e.g., means, standard deviations, or event rates).
Will I receive the actual R code used for the analysis?
Yes! Every order includes a clean, fully commented R script (.R file) so your analysis is 100% reproducible for peer review or journal submission.
Which R packages do you use for quantitative meta-analysis?
I primarily use industry-standard packages, including meta, metafor, and ggplot2 for custom, high-resolution forest and funnel plot generation.
Can you help if my data is not fully extracted yet?
Yes. If you only have raw papers, please send me a message first. I can create a custom order to extract the data into a PRISMA-compliant matrix before running the meta-analysis.

