Diagnosis
- One session to review your topic and data
- A clear analysis plan: methods, variables, steps
- A list of points to watch
Students & early-career researchers
Get the statistics of your thesis right
Choosing the right method, running the analyses, understanding the results and defending them before the committee: I support you at every step, so you are confident with your own work.
Describe my projectFree first call, in Cotonou or remotely.
Sound familiar?
The most common roadblocks
“Which method should I use?”
Regression, test, survival model, factor analysis… The choice depends on your question and your data, and the committee will ask why.
“My data is messy”
Missing values, inconsistent coding, scattered Excel files: preparation often takes longer than the analysis itself.
“I can't interpret my results”
Coefficients, p-values, confidence intervals: knowing what they say, and above all what they don't.
“I dread the committee's questions”
Being able to explain your methodological choices simply makes all the difference on defence day.
Three packages
Support that fits where you are
Guided analyses
- Everything in Diagnosis
- Data preparation and statistical analyses (R, Stata or Python)
- Tables and charts ready to insert
- Commented scripts and sessions explaining the results
Through to the defence
- Everything in Guided analyses
- Methodological review of the relevant chapters
- Responses to your supervisor's comments
- Preparation for the committee's questions
Quote-based, depending on level (bachelor's, master's, PhD) and workload.
Support, not ghost-writing
Your thesis stays yours. I help you understand and master the methods, I run the analyses with you and explain them, but the writing and final choices are yours. That is also what lets you answer the committee with confidence.
How it works
Four simple steps
You get in touch
Your level, topic, data and defence date. A few lines are enough.
First call
Free, on WhatsApp, video or in Cotonou. Together we choose the right package.
The work
Analyses, explanations and regular check-ins, following your supervisor's guidelines.
The defence
You master your results and can justify every methodological choice.
Students' questions
Describe my projectI don't have my data yet. Is it too early?
No, it's actually the best time. A well-thought-out analysis plan before data collection avoids discovering too late that a key variable is missing.
How long before the defence should I contact you?
Ideally two to three months before, to work without rushing. For a more urgent request, write to me anyway: we'll see what is realistic.
Should my supervisor know?
It's recommended. I work in line with their guidelines and those of your institution.
Which fields do you cover?
Mainly economics, statistics, health and life sciences, agriculture and the environment. If in doubt, describe your topic.