Services

Advances in biomedical technologies have resulted in the generation of vast and increasingly complex datasets, creating a critical need for robust statistical methodologies and careful interpretation. Biostatistics is a fundamental component of modern medical research, supporting sound study design, informed decision-making, and reliable inference at every stage of a study, from initial planning to final interpretation.

The Biostatistics Department at the CING provides expert statistical support and consultancy for research projects conducted across the institute and beyond. Our services are tailored to the specific scientific objectives and data structures of each project, and are delivered through close collaboration with investigators.

Core Statistical Services

• Study design and experimental planning
• Sample size determination
• Statistical power calculation
• Statistical analyses, including parametric and non-parametric methods
• Exploratory and confirmatory data analysis
• Survival and event-time analysis

Genetic and Genomic Data Analysis

• Analysis of large-scale genetic and genomic datasets
• Genome-Wide Association Studies (GWAS)
• Post-GWAS analyses, including fine-mapping of associated loci
• Construction, validation, and evaluation of Polygenic Risk Scores
• Statistical analysis of next-generation sequencing data
• Classification of Variants of Uncertain Clinical Significance (VUS)

Advanced Methodological Approaches

• Bayesian statistical modeling and inference
• Development and application of custom statistical methods for complex data

Through these services, the Department ensures methodological rigor, reproducibility, and meaningful interpretation of results, contributing to high-quality biomedical research and translational impact.