Epidemiology

Databases

• Recommendations for data collection and variable coding
• Anonymize or pseudonymize the data
• Design and develop databases (Excel, SPSS, SQL, and Access)
• REDCap:
  • Design and create electronic Case Report Forms (eCRFs)
  • Estandarizar, armonizar y subir bases de datos, ya existentes, al entorno REDCap.

Big Data

• Data wrangling: Combine, clean, harmonize, and organize databases
• Graphically represent research results
• Customize workflows and automate tasks
• Pilot and maintain customized web applications
• Exploit the data
• Artificial Intelligence

Bioinformatics

• Obtain data from specialized repositories for large‑scale data extraction (clinical data, genomics, tissue expression, functional annotation, imaging, etc.)
• Differential gene expression analysis (Microarrays)
• Next Generation Sequencing (NGS): RNA‑Seq, ChIP‑Seq, ATAC‑Seq, and scRNA‑Seq analysis
• Functional enrichment analysis (characterizing biological functions, molecular functions, and cellular components using Gene Ontology (GO) terms, and analyzing pathways using KEGG)
• Characterize splicing
• Install bioinformatics software

Data analysis and biostatistics

• Descriptive statistical analysis
• Sample size estimation
• Randomization procedures
• Hypothesis testing
• Multivariate analysis, regression, survival analysis, ROC curves, etc.

Research projects

• Support for the development of research projects, scientific articles, intervention evaluations, health outcomes assessments, healthcare quality studies, patient safety evaluations, conference communications, etc.
• Protocol design
• Presentation of results (preparation of tables, figures, etc.)
• Scientific advising (review of communications, publications, etc.)

Scheduled training

• R.
• REDCap.
• Research methodology
• Advanced epidemiology

Personalized training (on‑demand, outside the ISABIAL scheduled training program)

• R.
• REDCap.
• Other databases