Research Methodology Consulting
Build a statistical plan around your research question, study design and variables.
- Study design
- Hypothesis planning
- Sample size & power
- Test selection
Expert statistical consulting for Master's students, PhD researchers and academic teams — from research design and data analysis to interpretation and publication-ready outputs.
Choose a focused service page for deeper information about methodology, analysis, interpretation and training.
Build a statistical plan around your research question, study design and variables.
From data cleaning and exploration to regression, ANOVA, survival and advanced models.
Practical statistical support for Master's dissertations and doctoral research.
Learn R, Python, SPSS, Stata and applied statistics through research-focused mentoring.
Statistical methods are selected around your research question, assumptions, study design and data.
Linear, logistic and related modelling approaches.
Group comparisons, factorial designs and post-hoc analysis.
Time-to-event analysis and model interpretation.
Methods for complex multi-variable questions.
Advanced approaches for appropriate research designs.
Flexible and reproducible academic workflows.
Get statistical guidance without handing over ownership of your research.
Understand your analysis and produce results you can confidently present.
Work through advanced methods, model choices and statistical interpretation.
Strengthen design, reproducibility, analysis and publication-ready outputs.
Bring statistical expertise into collaborative studies and workshops.
Every project starts with your research question — not a pre-selected statistical test.
Tell us your topic, question, dataset, study level and deadline.
We assess the design, variables and data before proposing the right approach.
We clean, model, check assumptions and create reproducible outputs.
You receive clear results, explanations and guidance you can defend.
Lumine Analytics combines statistical expertise with a research-first approach. The focus is not simply on producing output, but on helping researchers understand why a method is appropriate and what the result means.
Our support is collaborative and ethical. We provide consulting, analysis, interpretation and Methods/Results guidance — not ghostwritten dissertations.
"The analysis finally made sense to me. I understood why the statistical test was selected and how to explain the results in my viva."
Sandeep SaxsenaPhD Researcher"The guidance helped me move from a confusing dataset to clear tables and an analysis plan I could confidently discuss with my supervisor."
Manish SharmaMaster's Researcher"What I valued most was the explanation. I wasn't just given numbers — I understood what they meant for my research question."
Vivek VermaResearch StudentReal case studies should be added with client permission or fully anonymized project details.
Challenge: A doctoral researcher had a complex dataset and was uncertain which model best answered the research question.
Approach: Study-design review → exploratory analysis → model selection → diagnostics → interpretation → publication-ready tables and visuals.
Outcome: A reproducible analysis workflow and a clear statistical narrative the researcher could explain and defend.
for knowledge/educational purposes
R, Python, SPSS, Stata and SAS.
Yes. Lumine Analytics provides end-to-end dissertation and thesis support, including research design, statistical analysis, interpretation, methodology, results, discussion and guidance throughout the research process.
Yes. We review your research question, variables, design and data before recommending an appropriate approach.
Yes. We can review your methodology, assumptions, output and interpretation and identify areas needing attention.
Share a few details about your research and we'll use the consultation to understand the project and suggest the best next step.
+91 97625 17792
info@lumineanalytics.com
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