Study design, data analysis and publication support for researchers, thesis students, clinical teams and companies.
Data analysis with methodological rigor and professional-grade results.
Evaluation of the necessary sample size to ensure statistically valid results, considering the study type, the main variable, the significance level, and the desired power. Ideal for projects in the planning stage.
About sample sizeData quality review, outlier and missing value detection and treatment, proper variable coding, and structured organization to ensure reliable analysis.
About data cleaningInitial sample characterization through statistical computation and graphical tools. Assessment of assumptions for parametric and non-parametric testing.
About descriptive statisticsApplication of statistical tests to contrast hypotheses, identify differences between groups, and analyze associations between variables.
About inferential statisticsExploration of complex associations between multiple variables using linear regression, principal component analysis, or simple models that allow controlling for confounding factors.
About multivariate analysisComprehensive support in results communication: full manuscript drafting, cover letters, and expert guidance for responding to reviewer comments. Preparation of abstracts and posters for conferences.
About publication supportTell us about your study or your data. We reply with questions and a quote.
We agree on scope, deliverables and timing. For new studies, we define the design and the sample size.
Data cleaning, analysis and checks, documented so every result can be traced.
Tables, figures and a clear report, plus support when reviewers ask questions.
Descriptive Statistics
Learn to describe your biomedical data clearly and honestly, before you run a single test.
Coming after: Inferential statistics · Applications in R
Leave your email and we will let you know when the course opens.
Mathematical Foundations in Statistics: four short, clear guides to the notation behind statistics, by Andrea Millán, Ph.D.
What the Σ symbol means and how a sum is built: index, limits and key properties, with worked examples such as the mean.
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The factorial (n!): its components and properties, with calculations on a scientific calculator and in R.
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Counting groups where order does not matter: the combination formula, the binomial coefficient and its properties, with worked examples.
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Counting ordered arrangements: the permutation formula and its relevant properties, with worked examples.
Download PDF · FreePractical guide for healthcare professionals that translates statistics into key tools for analyzing scientific evidence without depending on third parties.
ReadCalculating the correct sample size optimizes resources while ensuring research results are valid, accurate, and statistically reliable for any study.
ReadThis branch of statistics organizes and summarizes data to identify patterns, detect errors, and facilitate deep understanding of any research.
ReadInstitutions and organizations we collaborate with.
Exceptional data visualization. They transformed complex results into clear, professional charts.
Their support was vital for my thesis. Precise, professional, and highly academic results.
Professional and rigorous scientific consulting. Highly recommended for high-impact publications.
Write to us or book a consultation. We reply as soon as we can.
