Review your methods. Check the numbers in your paper. Make your code reproducible. Or get reviewer-requested analyses done.
Four focused services, with an agreed scope and direct review by Nedim Yel, PhD. Choose the help you need for your next submission or revision.
Already have a decision letter? Explore revise-and-resubmit support ↓
Each service answers a different question. If your project spans more than one, we will agree on the combination before work begins.
“Are my methods and interpretations appropriate?”
An independent review of your methods, results and tables, with issues located in the manuscript and suggested fixes.
“Does the paper match my analysis output?”
Trace the numbers in agreed manuscript sections to the intended R or Python results. Identify outdated values, mismatched labels and unsupported claims.
“Can someone else rerun this result?”
Rerun one agreed output from your R project and identify the package, dependency or setup problems that get in the way.
“Can you run the analyses my reviewers requested?”
Execute a bounded analysis plan on your existing data, independently check the models, and document the changes for your revision.
“What evidence supports the shortened scale we used?”
Assess your abbreviated measure using item-level responses and document the findings, limitations, and implications for your manuscript.
Describe your project, deadline and the help you need. Start with a description; file access and data arrangements come later.
We confirm the service, deliverables, fee and schedule. A sprint also needs your approval of the analysis plan before execution.
Receive the agreed review, comparison, rerun record or reanalysis outputs, with human review and any limitations stated.
Inspect the kind of evidence you can work through, from manuscript findings to source-linked results.
See how a statistical review locates and explains reporting and model concerns.
Read the sample statistical reviewA synthetic example compares reported values with the intended model and traces each finding to its source.
See the sample results checkA synthetic example shows the request, analysis action, original result and revised result.
See the crosswalk exampleUnderstand what needs to change, which additional checks are justified, and how to explain your methodological decisions.
The Reviewer Response Audit is a Statistical Manuscript Review focused on your revision. After we agree on scope, share your manuscript, the relevant decision-letter comments and your current response draft, if you have one. Get a point-by-point statistical action plan mapped to the agreed reviewer comments.
Standard turnaround: five business days from complete materials and first payment. One clarification call or email thread is included.
Illustrative example · Not from a client report
Reviewer comment
“Please explain how classroom clustering was handled in the analysis reported in Table 3.”
Assessment · Clustering requires review
Check how classroom clustering was handled in the original model. Assess an appropriate small-sample adjustment or alternative model, identify any necessary sensitivity analysis, and explain the implications for Table 3. The recommendation depends on the study design and available evidence.
Need models rerun or new analyses executed? Request a separately scoped Reanalysis Execution Sprint. We respond to quote requests within 72 hours; execution timing is confirmed in the quote.
See how each service is quoted and request a quote for the work you need. We respond within 72 hours.
Measurement & Statistics · M.S. Teaching Physics
15+ years reviewing and analyzing data across IES- and NSF-funded research, spanning school psychology, counseling psychology, math education, computer science education, and law education.
Scope, findings and final decisions are reviewed by Nedim, with the work documented so you can see what was checked and what remains unresolved.
Learn which service fits, what to share, how confidentiality works and what to expect from the review.