Biostatistics Training

Boost your expertise with our bespoke courses in trial design and data analysis.

Regulatory focus

Advanced methodologies

Practical skills

Beginner to expert levels

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: Online

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: Online

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: Online

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

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: Online

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: Online