Analysts are assigned only when the methods and software match their experience.
About
A research team with a careful review standard for academic analysis.
We keep the public promise modest and the work careful. Every project is reviewed, matched to the right role, and checked before it goes back, so the analysis is something you can stand behind.
Research team
Scoped research support, not generic outsourcing.
stat.bd connects academic projects with the statistics, survey, manuscript, and software people who fit them. It is not one person quietly doing everything behind a brand name.
The way we work stays simple: scope the problem, assign the right support, explain the method, and keep our claims modest. Verified public profiles are added on the Team page where appropriate; assignment and review standards apply regardless of who handles the work.
What we hand over should still make sense after the call, without a private explanation attached.
Sensitive, complex, or publication-bound work gets a second internal review before it leaves.
We can bring in more people when needed. We still do not guarantee publication, grades, or viva outcomes.
Ethics and student ownership
Your work stays yours.
We support analysis and reporting. Authorship, study design, data collection, and the final write-up remain yours.
You keep authorship. We provide tables, syntax, and interpretation notes. We do not ghostwrite thesis chapters or substitute for your voice in the write-up.
Disclose where required. Tell your supervisor or department if you use external statistical support, per institutional rules. That disclosure is your responsibility, not ours to manage.
Replication on request. Syntax, cleaned outputs, and a short methods memo so you can rerun the analysis or explain the work in a viva.
Scope statement on request. A supervisor-facing summary of what was and was not done, available when you need a clear record of the support provided.
Review standard
What our review standard means in practice.
Every scoped analysis project is checked internally before delivery. This is what that review covers.
Methods chosen to fit the data and research question, not to chase significance.
Assumptions checked and limitations stated. No p-hacking or selective reporting.
Outputs packaged so you can explain them in a viva or supervisor meeting without us in the room.
Internal second review before delivery on complex or publication-bound work.
Institutional fit
Built for Bangladesh university research workflows.
We work with students and researchers at Rajshahi University and peer institutions on thesis chapters, surveys, and manuscript revisions.
Thesis and survey cycles
Chapter deadlines, pilot feedback, and department-specific forms are part of the workflow we expect.
Supervisor feedback
Revision rounds are normal. Our role is to keep the analysis coherent under that feedback, not to bypass it.
Coherent revision
We work within department rules and supervisor sign-off. External support should strengthen your work, not sidestep institutional process.
Team approach
Right assignment, clear outputs, stated limits.
Matching by method
We read the topic, data, software, and deadline first, then assign the analyst whose methods fit the project.
Layered review
Before anything goes back to you, a second reviewer checks the method, how the results are read, and where the limits are.
Academic network
Several researchers work to one standard, so thesis, survey, manuscript, and revision work go to the right person.