Advanced Biostatistics: Diagnostic Device Evaluation
3 days (21 h)
- Diagnostic device types & regulations
- Sensitivity & specificity analysis
- Verification bias methods
- Logistic & ROC modeling
- Bayesian integration
- FDA/EMA submission prep
Format: Lectures + hands-on (R & SAS)
Clinical Trials Statistics for Rare Diseases
3 days
- Rare disease challenges
- Small-sample trial design
- Adaptive & sequential methods
- Survival analysis in small cohorts
- Hierarchical Bayesian modeling
- Data pooling and meta-analysis for rare endpoints
Format: Live or online interactive
Translational Oncology Biostatistics
3 days
- Multi-omic data integration
- Statistical frameworks
- Biomarker & signature analysis
- Advanced clustering
- Predictive validation
- Survival modeling in translational oncology studies
Format: Hybrid (onsite + e-learning)
AI & Big Data for Pharmacovigilance
2 days
- Supervised & unsupervised ML
- NLP on clinical reports
- Early-signal detection
- Graph-based safety signal networks
- Real-time adverse event monitoring
- Integration with regulatory safety databases
Format: Online workshops
Machine Learning for Drug Discovery
3 days
- Feature selection & dimension reduction
- Decision trees, random forests, SVM
- Deep neural networks
- Virtual screening
- Molecular descriptor engineering
- Transfer learning for drug repurposing
Format: Hybrid R/Python labs
Bayesian Statistics for Innovative Trials
3 days
- Priors & posteriors
- MCMC : MH, Gibbs, HMC
- Hierarchical Bayesian models
- Bayesian power calculations
- Adaptive Bayesian trial monitoring
- Posterior predictive checks
Format: Intensive workshop