Services
As a stakeholder in interventional or observational research in Health or in the Human and Social Sciences, O’DAS supports you in the design, statistical analysis, and dissemination of your projects.
Need to strengthen your team or access specific expertise? Contact us to discuss it!
Research methodology
The research methodology service is designed to ensure a rigorous and structured approach from the very beginning of your project. The services cover the following areas:
Project scoping: Support in defining your research objectives, determining the research hypothesis, and identifying key issues in order to produce a detailed roadmap based on a methodological framework such as the PICO method (Population, Intervention, Comparison, Outcome), defining measurable endpoints, and taking into account real-world constraints such as geography, budget, and timelines — while maintaining scientific rigor. This initial step is essential to ensure the coherence and relevance of your study.
Literature review: Comprehensive assessment of existing knowledge using internationally recognized standards such as PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for systematic reviews and meta-analyses.
Study design: Selection of the most appropriate study design — cohort, case-control, cross-sectional studies, qualitative or quantitative studies, mixed-methods approaches, non-inferiority, equivalence or superiority trials — and development of the methodology. This step includes defining sampling and data-collection methods.
Data compliance: Ensuring data security and traceability so that processing complies with current regulations and good clinical practice (General Data Protection Regulation, CNIL authorizations, impact assessment, data-processing register, etc.).
Expertise for submission files: Support in evaluating submissions such as calls for expressions of interest, calls for tenders, funding applications, or research protocols.
Biometrics
Statistical processing and analysis are key steps in the success of your project.
We support you in managing, analyzing, and interpreting your data to ensure results that are robust, reproducible, and compliant with regulatory requirements.
Our biometry services focus on two essential areas: data management and statistical methodology.
Data management
Data-collection architecture: Preparing case-report forms aligned with study objectives
Creation of an electronic case-report form (KoboToolbox)
Technical documentation: data dictionary, data-management plan, data-validation plan, access rights, backup and storage procedures
Monitoring and reporting: dashboards to track inclusions and data status
Data cleaning and validation: cross-checking to detect inconsistencies before statistical analysis, query management, database locking
Preparing data for analysis: data extraction, table merging, creation of variables
Biostatistics
Statistical planning: Determining required sample size, calculating statistical power and effect size, drafting the Statistical Analysis Plan.
Descriptive and inferential statistics: Exploring distributions of continuous variables and analyzing categorical data.
Parametric and non-parametric tests (Student’s t-test, Kruskal–Wallis, Wilcoxon, Friedman, McNemar, Chi-square, Fisher’s exact test), analysis of variance (ANOVA, ANCOVA), analysis of paired or independent samples, verification of test assumptions (Fisher–Snedecor test, Kolmogorov–Smirnov test, Levene’s test, Bartlett’s test of sphericity), analysis of correlations between two variables (Pearson correlation coefficient, Spearman correlation, Kendall coefficient), Cronbach’s alpha for Likert scales, measurement of inter-rater or instrument reliability (Cohen’s kappa, intraclass correlation coefficient).
Epidemiological indicators: Prevalence, incidence, mortality, standardized incidence or mortality ratios, risk and prognostic factor analyses, quality-of-life studies.
Data exploration and machine learning: Exploratory and Confirmatory Factor Analysis, Principal Component Analysis, Multiple Correspondence Analysis, clustering, decision trees.
Advanced modeling: Generalized linear models (linear regression, logistic regression, Poisson regression), mixed models with fixed and random effects.
Complex analysis strategies: Propensity scores, multiple imputation, modeling of non-linear or non-proportional effects, interaction analyses, causal inference, structural equation models, instrumental variables, model fit and sensitivity analyses, ROC curves.
Survival analysis: Overall survival concepts (Kaplan–Meier estimator, actuarial method, log-rank test, Cox model).
Concept of net survival (cause-specific approach, Pohar-Perme estimator, excess-hazard modeling), flexible models, cure models, analysis of composite endpoints (Finkelstein–Schoenfeld method and Win Ratio).
Data visualization: Graphical representation of data to enhance interpretation (flowcharts, Sankey diagrams, Bland-Altman plots, etc.).
Interpretation of results: Analysis of findings, identification of potential biases, drafting detailed reports, and formulation of recommendations.
Medical and scientific writing
Medical and scientific writing plays a key role throughout the life cycle of a research project. From the outset, it helps structure the documents required to launch the project, such as regulatory documents, study protocols, and ethics submissions. It is also essential for disseminating results to the scientific community, the general public, and funders.
By adopting a rigorous approach aligned with international standards (ICH, CONSORT, SAMPL Guidelines, STROBE, EQUATOR, etc.), I ensure that documents are complete, accurate, and compliant with regulatory expectations. I can also support you in preparing responses to calls for expressions of interest, tenders, and funding applications.
You can also entrust me with the dissemination of your research findings. Whether for oral or poster presentations at scientific conferences, publications in peer-reviewed journals or educational journals, I help you share your results with targeted audiences. I can also assist in developing materials such as health observatory reports, leaflets, public-facing brochures, or organizing presentations of scientific results for patient associations.
Some data or research results — although relevant — may remain under-used due to a lack of scientific dissemination. Writing and publishing in specialized journals not only structures results according to academic standards, but also increases their visibility within the scientific community.
Whether your research is interventional or observational, or whether it involves a systematic review or meta-analysis, I adapt the writing to the study design and intended audience while ensuring clarity, coherence, and scientific impact.
Teaching and training activities
My educational support is designed to help you progressively build skills by combining theory and practice. Through a personalized program, I guide you step by step in understanding key concepts in research methodology and statistical data analysis, as well as their practical application in your scientific field.
I offer group or individual training tailored to your needs. These activities are accessible whether you are a beginner or more advanced, allowing you to deepen specific skills or discover new tools at your own pace.
Through interactive sessions, you will learn how to design rigorous surveys, structure questionnaires, choose appropriate sampling strategies, and analyze your data using accessible statistical tools. The objective is to make you autonomous in analyzing and using your results while ensuring scientific validity. Training topics include: critical appraisal of scientific articles, research methodology and study design, basic and advanced statistics, and software applications (Power BI, Kobo, STATA, R).
Whether you are a higher-education student or a professional in medical research or the social sciences, my approach offers practical, learner-centered guidance.
Training can be complemented by mentoring — for example, support in writing reports with feedback to improve clarity and structure. I can also supervise students preparing dissertations or professional theses, guiding them through methodological aspects of their work.
I also offer teaching activities as an external lecturer, delivering lectures or tutorials for students in public health or applied mathematics. These courses may take place in medical and pharmacy faculties, paramedical programs, scientific master’s programs, schools of public health, or university technology institutes.