INSECABEuropean Institute forApplied Biodata Science

Biological data demand a science of their own.

Research, training and knowledge transfer from an independent institution.

Causal inference · Computational epidemiology · Reproducible science

USALIBSALCSICNATURE MICROBIOLOGY

Affiliated institutions

USAL IBSAL CSIC SEIO IABiomed Nature Microbiology

What is INSECAB?

The science that connects your data to a clinical decision.

Biological data are not just any data. Behind every row there is a patient, a pathogen or an ecosystem, behaving with a variability that generic data science is not equipped to read.

INSECAB is the independent European institute focused specifically on the intersection of advanced statistics, causal inference, computational science and the life sciences. We are not a consultancy adapting itself to the health sector. We are not a faculty bolting on a few programming modules. We are a structure built from that intersection outwards.

We do not train technicians. We train professionals able to design, run and defend their own analyses.

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Active research · International projects under way

The four disciplines

INSECAB's analytical framework

Clinical Biostatistics

Design and analyse your studies to the methodological standard that high-impact journals demand. Predictive models, survival analysis and publication-ready reporting from day one.

Causal Inference

Move from "there is a correlation" to "there is an effect". DAGs, TMLE and causal models that hold up to peer review with sound methodological arguments.

Computational Epidemiology

From surveillance data to the health decision. SIR/SEIR modelling, outbreak analysis and early warning, applicable to European health systems.

Reproducible Science

Analysis that holds up to any audit. Pipelines in R and Python, aligned with STROBE, CONSORT and PRISMA, and documentation ready for any reviewer.

Dr Marta María Dolcet Negre

Scientific Director · INSECAB

Scientific direction

You learn from those who publish.

Dr Dolcet Negre designed the programme out of her own research practice: the methodology she applies as a lecturer at the University of Salamanca, member of IBSAL and co-author in Nature Microbiology (2025) is what holds the programme together.

This is not theory adapted for the classroom: it is her professional judgement brought into it.

USALIBSALSEIOIABiomed

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Flagship programme

Executive Master's in Biostatistics Applied to Biodata

INSECAB's flagship programme. Executive training for health professionals, built on the team's experience in active international projects and on the methodological standards it publishes to.

Clinical profile

Autonomy in hospital research

Stop sending your data to the statistician and waiting three months. Design, analyse and publish your clinical studies without depending on the biostatistics unit.

Research profile

Biostatistics geared to publication

Reproducible analyses that hold up to Reviewer 2. Learn to document every methodological decision so your manuscript reaches review watertight.

Public health profile

Computational epidemiology and surveillance

Become the person who, when an outbreak hits, produces the model. SIR/SEIR modelling, outbreak analysis and early warning, applicable to your own surveillance network.

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Active research

The problems from our projects come into the classroom.

We do not share real data from ongoing projects — our partners' data are theirs and remain protected — but we do share the experience, the methodological challenges and what we learn from them. Every module is built around real case studies, worked through with analogous, synthetic or public datasets where the case requires it.

About the Institute

BiosecurityActive

Cross-border Epidemiological Surveillance

Epidemiological surveillance and risk modelling for cross-border biothreats.

Animal HealthActive

ACESDA Project

Integration of genomic and phenotypic data for the early detection of zoonotic pathogens.