Algoria Biometrics · Life sciences
We build and recover R/Shiny applications, review clinical programming, and automate analyses and reports for life sciences teams.
Defined projects or senior support with an agreed time commitment.
Support for CROs, biometrics consultancies, biotech, pharma and research teams. The scope is shaped around the work you need to deliver.
Build a new tool or recover an existing application. Receive source code, tests and instructions for use and maintenance.
Explore R/Shiny development and maintenance02Review specifications, SDTM/ADaM datasets, and tables, listings and figures. Coordinate deliverables and decisions through prioritised findings and closure criteria.
Explore programming oversight03Update data and regenerate tables, figures and reports through a documented workflow, with parameters, checks and a record of each run.
Explore analysis and reporting automationWe also support study design, statistical analysis plans and biostatistical analyses. Methods, assumptions and deliverables are defined around the study objective.
Explore biostatistics services.Founder’s experience
Algoria Biometrics was founded by Jorge Alcántara Espinosa. His professional experience includes R/Shiny development, data integration and reporting, as well as senior clinical programming oversight.
About AlgoriaIllustrative check of a clinical table against an analysis dataset. All records and findings are invented.
Demonstration with synthetic data. Not client work or evidence of a completed validation.
We review agreed materials to identify inconsistencies, prioritise findings and propose a remediation plan. You receive an issue log and outstanding decisions; subsequent corrections are scoped separately.
We assess whether the data and rules for population, dates and follow-up support a specific question. You receive findings, limitations and recommendations; cohort definition and analysis are specified in scope.
Design and analysis of variability, stability or reproducibility, according to the assay and agreed criteria. The service covers statistical work; experimental execution and regulatory certification are not included.
We assess the question, technology, processing stage and specific expertise needed before proposing an analysis. Scope identifies the input data, methods, and who will perform and review the work.
Methods Lab
Explore absolute effects with Effect Translator. Assumptions, uncertainty and interpretation stay visible.
Open Effect TranslatorSynthetic worked example
−5 percentage points
RR = 0.75 applied to a 20% baseline risk at the same time horizon.
Illustration only. No treatment recommendation.
We review the objective, available materials, timeline and project fit.
We define scope, time commitment, responsibilities, acceptance criteria and fees.
Results are accompanied by the relevant code or specifications, completed checks and outstanding issues.
Pharma and biostatistics ·
The FDA approval of atezolizumab illustrates the distinction between HR, probabilities and absolute benefit. Practise with our Kaplan–Meier guide.
Tell us the need, your organisation and the timeline. We review fit and availability before preparing a proposal.
Do not send patient, clinical or confidential study data.