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I will perform meta analysis for systematic reviews using r and stata
PhD Statistical Consultant, Advanced Modeling, R Mplus Stata Python
I am a PhD-qualified statistical consultant supporting researchers, doctoral scholars, academic authors, and professional teams with clear, defensible quantitative analysis.
My services include LPA/L...
About this Gig
Free initial consultation: Send your review question, data, or manuscript stage so I can confirm fit before you order.
Need defensible meta-analysis and evidence synthesis rather than unexplained software output?
I provide PhD-level meta-analysis and evidence synthesis in R, Stata, and Python for researchers, doctoral students, and academic authors.
Services may include:
- Feasibility and data-readiness review
- Effect-size calculation and harmonization
- Fixed-effect and random-effects models
- Forest plots, heterogeneity, and subgroup analyses
- Sensitivity, influence, and outlier diagnostics
- Funnel plots and publication-bias assessment
- Meta-regression, where appropriate
- Reproducible code, publication-ready tables, figures, and interpretation
- Statistical Methods/Results and reviewer-response support
For broader review projects, structured literature searching, screening, data extraction, risk-of-bias support, reference management, evidence organization, and PRISMA-aligned reporting can be added through a scoped custom offer. Full manuscript drafting is not included.
Programming language:
Python
•
R
Technology:
Stata
Expertise:
Statistics
•
Hypothesis testing
•
Other
Tools:
RStudio
•
Stata
•
Google Colab
My Portfolio
FAQ
Can you support the broader systematic review workflow?
Yes. Depending on scope, I can support literature searching, screening, data extraction, evidence organization, risk-of-bias review, PRISMA-aligned reporting, and quantitative synthesis.
Can you assess whether a meta-analysis is feasible?
Yes. I can review the included studies, outcomes, comparators, timepoints, and available effect measures to determine whether pooling is methodologically defensible.
What files and information should I provide?
Please provide the review question, eligibility criteria, included-study list, extraction sheet, outcomes, effect measures, study designs, timepoints, and any existing analysis or protocol.
Can you help if my extracted data are incomplete or inconsistent?
Yes. I can review the extraction file, identify missing or incompatible information, recommend required corrections, and help harmonize effect measures where feasible.
Which meta-analysis methods do you support?
Services may include fixed-effect and random-effects models, subgroup analysis, sensitivity analysis, influence diagnostics, publication-bias assessment, and meta-regression when appropriate.
Which software do you use?
I work mainly in R, Stata, and Python. The software will be selected according to the evidence structure, required analyses, and preferred output format.
Can you help with reviewer comments or publication-stage revisions?
Yes. I can support statistical and methodological reviewer comments, additional analyses, Methods/Results revisions, interpretation, and publication-stage reporting within the agreed scope.
Can you guarantee a significant pooled effect?
No. I provide honest and methodologically defensible analysis. Results depend on the available evidence, study quality, heterogeneity, and effect estimates.
When are funnel plots or publication-bias tests appropriate?
These methods depend on the number of studies, effect measure, and evidence structure. I will assess whether they are statistically appropriate before including them.
What is included in a revision?
A revision covers correction or clarification within the agreed scope. New outcomes, studies, datasets, subgroup analyses, models, or reporting requirements are additional work.
