Statistical Data Analysis and Research Support
We turn research data into reliable and easy-to-understand results. A specialist will review the study design and data quality, select appropriate statistical methods, perform the analysis, and prepare tables, charts, and interpretations for a scientific article, dissertation, report, or presentation.
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What is statistical data analysis and research support?
This is a comprehensive service for researchers, medical professionals, universities, clinics, and companies that need to process research results correctly and present them in a professional format.
The work begins with an assessment of the research question, study design, hypotheses, endpoints, and data structure. A statistician reviews the completeness of the dataset and proposes a well-founded analysis plan. The client receives a transparent explanation of the methods used, their limitations, and the appropriate interpretation of the results — without changing or artificially “improving” the original findings.
Who is this service for?
What does the service include?
Task Definition
Defining the objective, research question, hypotheses, study design, endpoints, and the requirements of the target journal or regulator.
Study Design Audit
Assessing whether the study design is appropriate for the research objective, whether the number of observations is sufficient, and identifying potential systematic biases.
Data Validation
Identifying duplicates and inconsistencies, assessing missing values, and detecting outliers without automatically removing them.
Analysis Plan
Preparing an analytical protocol or Statistical Analysis Plan (SAP), including rules for handling missing data, subgroup analyses, and statistical methods.
Statistical Analysis
Descriptive statistics, regression modeling, survival analysis, comparison of indicators, and sample size calculation depending on the research task.
Visualization
Preparing tables, bar charts, scatter plots, line charts, box plots, forest plots, ROC curves, and Kaplan–Meier curves.
Interpretation
Neutral explanation of the selected method, effect estimates, limitations, and interpretation of results, such as p-values.
How much does the analysis cost?
Answer a few questions and receive information about the cost
Leave your contact details, and our manager will contact you and offer possible options based on your answers
What will you receive?
The basic package includes:
- An analytical report outlining the objectives, methods, results, and limitations.
- Editable tables and ready-to-use figures in the agreed format and resolution.
- Text for the “Methods” section (Methods/Statistical Analysis) and neutral wording for the “Results” section.
- A data validation log listing identified issues and the decisions made.
Additional Service: Observational Study Design and Patient Registry Development
If you do not yet have a completed dataset, we can develop the scientific and operational framework for your study. This service includes:
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Study concept: formulating the research question, inclusion/exclusion criteria, and primary endpoints.
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Protocol: a detailed description of the study design, population, methods for reducing bias, and ethical considerations.
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CRF/eCRF and registry: developing a variable map, screening forms, and logical validation checks.
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Patient-reported outcomes (PRO/QoL): selecting and planning the implementation of assessment tools.
Working with us: principles and limitations
We adhere to strict standards of research ethics:
- The service does not guarantee a statistically significant result or acceptance of an article by a journal.
- The specialist does not alter or remove data without justification and approval, and a statistical association alone is not presented as proof of causality.
- The data owner is responsible for ensuring the legality of data collection, obtaining patient consent, and removing direct identifiers before transferring the dataset.
- Medical interpretation of research results does not constitute individual diagnosis or treatment.
Professional Statistical Data Analysis and Medical Research Support
Proper statistical data analysis and comprehensive research support are key stages in preparing a scientific article, dissertation, or clinical report. Our service is designed for researchers, physicians, clinicians, and pharmaceutical companies that need to process results correctly and present them in a professional format. The work begins with an in-depth audit of the study design and validation of the dataset for missing values, duplicates, and logical inconsistencies. For clinical and medical projects, we develop a detailed Statistical Analysis Plan (SAP) in accordance with the study protocol, defining the rules for calculating primary and secondary endpoints before the analysis begins.
We apply a wide range of statistical methods depending on the study design and hypotheses: from basic descriptive statistics, comparison of categorical variables (chi-square test, Fisher’s exact test), and continuous variables (t-test, ANOVA, Mann–Whitney) to advanced regression modeling (linear and logistic regression, Poisson models, and mixed-effects models). Particular attention is paid to specific medical tasks: we calculate sample size and statistical power, perform survival analysis (Kaplan–Meier, Cox proportional hazards model), and apply diagnostic methods (ROC analysis, sensitivity and specificity calculations). We also assess key medical measures such as Odds ratio and relative risk.
Observational Study Design and Patient Registries
As a separate service area, we offer the development of observational study designs and patient registries. This service covers the development of the study concept, protocol, data structure, and individual case report forms (CRF/eCRF), as well as the selection of tools for assessing patient-reported outcomes (PRO/QoL).
Statistical Analysis Results
The final study results are presented with transparent and neutral interpretation in the form of ready-to-use figures (forest plots, box plots) and editable tables. The client receives materials supplemented with text for the academic “Methods” and “Results” sections, taking into account international reporting standards such as STROBE. Entrust biostatistics to experts to ensure a high level of confidence in your research among the scientific community and reviewers.
