I will make forest plots and funnel plots for clinical research
Elevating Research with Precision, Clarity, and Data Driven Impact
About this Gig
Are you in search of a research expert who can transform your clinical data into a publication-ready masterpiece? As a dedicated medical researcher with extensive experience in PRISMA-guided systematic reviews, meta-analyses, and evidence-based medicine, I deliver robust, meticulously analyzed, and high-quality research articles.
What This Gig Offers:
- Precise formulation of research questions and development of PROSPERO protocols
- Comprehensive literature searches across multiple databases (PubMed, Cochrane Library, etc.)
- Rigorous screening and selection of eligible studies for meta-analysis
- Accurate data extraction, cleaning, and tabulation for statistical analysis
- Execution of meta-analyses using industry-standard tools
- Manuscript writing and formatting adhering to Cochrane and PRISMA guidelines
Tools I Utilize:
- Review Manager (RevMan)
- R Statistics Software
- SPSS
- Comprehensive Meta-Analysis (CMA)
- STATA
- Meta-DiSc
Let's collaborate to elevate your research and ensure your work meets the highest publication standards. Your success is my commitment.
My Portfolio
FAQ
What data do you need to create these plots?
Please provide your effect estimates (e.g. odds ratios, mean differences), corresponding confidence intervals or standard errors, study labels, and any subgroup or moderator variables in a clean CSV or Excel file. The more complete your dataset (sample sizes, study IDs), the more accurate the plots.
Which plot types and customizations are supported?
I’ll generate: 1. Forest plots (fixed‑ or random‑effects, subgroup analyses) 2. Funnel plots (with trim‑and‑fill if required) 3. Bubble plots (meta‑regression visualizations) You can request custom annotations, axis labels, confidence‐band shading, and sizing; just let me know.
What deliverables and turnaround can I expect?
You’ll receive high‑resolution PNG/PDF/SVG files plus editable source scripts (R/SPSS syntax or Python matplotlib code). Standard delivery is 48 hours for up to 50 studies, with two rounds of minor revisions included at no extra cost.

