Statistical Analysis

We provide comprehensive statistical support for research projects — from selecting the right methods, through performing computations, to interpreting results and preparing a publication-ready description. We work with R, Python, and Statistica environments. We perform both simple comparative analyses and advanced statistical modeling, meta-analyses, and survival analyses. The service is fully modular — you can commission the entire project or select any individual element.

What the service includes

Planning and method selection

Data analysis plan consultations

Selection of appropriate statistical tests and methods

Statistical power analyses and sample size estimation

Analysis execution

Statistical computations with full documentation

Advanced modeling: multilevel models, survival analysis, structural equation modeling, meta-analyses

Professional results visualization — publication-ready charts and tables

Documentation and reporting

Report with full interpretation of results

Methodology section description ready for inclusion in a manuscript or thesis

Each of the above elements can be commissioned separately.

Implementation process

Project analysis

We discuss the research goal, data structure, requirements, and timeline.

Analysis plan

We select statistical methods and prepare a detailed computation plan.

Execution

We perform statistical analyses with full code and computation documentation.

Review and refinement

Internal verification of results accuracy; we incorporate your feedback.

Finalization and delivery

We deliver results, visualizations, and a report with interpretation and methodology description.