Causal Inference Workshops
Causal Inference Workshops
Master cutting-edge causal methods to answer “what if” questions with confidence. This practical workshop gives your team the tools and frameworks to derive credible causal estimates from observational data. Hands-on training covers identification strategies, modern methods, and regulatory-accepted sensitivity analyses.
Workshop Specialities
Causal Diagrams & Identification
Map your causal assumptions with precision and clarity
- Construct and interpret DAGs to guide adjustment decisions
- Identify backdoor paths and valid adjustment sets
- Translate research questions into formal causal models
- Common DAG errors and how to avoid them
- Ready-to-use templates for study planning
Propensity Score Methods
Balance treatment groups and strengthen observational comparisons
- Estimate and diagnose propensity score models in R or SAS
- Implement matching, IPTW, and overlap weighting
- Achieve balance with standardized differences and love plots
- Doubly robust estimation and variance methods
- Code and diagnostics you can apply immediately
Instrumental Variables & Mendelian Randomization
Leverage natural experiments to estimate causal effects
- Identify and validate instruments using real datasets
- Two-stage least squares and modern MR estimators
- Test for weak instruments and pleiotropy
- Hands-on training with MR-Base and TwoSampleMR
- Write defensible IV/MR sections for submissions
Quasi-Experimental Methods (Differences in differences, synthetic controls, regression discontinuity)
Extract causal insights from policy changes and natural interventions
- Parallel trends assessment and staggered adoption designs
- Synthetic control methods and regression discontinuity
- Combine techniques for complex policy or treatment questions
- Direct application to ongoing RWE and HEOR programs
Mediation Analysis
Uncover the pathways through which treatments work
- Identify mediation and interaction (moderation) problems
- Natural direct and indirect effects in mediation analysis
- Structural Equation Models (SEM)
- Software tools (R, MPlus, Lisrel)
Target Trial Emulation (TTE) Framework
Transform observational data into rigorous trial-like evidence
- Design an emulated trial from observational data sources
- Define time zero, cloning, censoring, and weighting schemes
- Write a complete TTE protocol and analysis plan
- Compare results to published randomized trials
- Produce manuscripts and submissions using the TTE approach
Sensitivity Analysis & Transparent Reporting
Defend your causal claims with robust sensitivity testing
- Conduct E-value, tipping-point, and quantitative bias analysis
- Perform pre-registration and open causal analysis plans
- Stress-test assumptions with formal sensitivity tools
- Full reproducibility workflow with code and registries
- Strengthen causal claims for peer review and regulatory scrutiny
Bring practical, regulator-focused training directly to your team. Through hands-on workshops I deliver modern biostatistics, causal inference, and industry-standard tools, transforming complex data into clear, submission-ready insights that accelerate approvals and strengthen your pipeline.
Flexible Delivery Options
Intensive Multi-Day Workshops
Typically 2–5 day intensive programs. Fully flexible to match your timeline. Featuring hands-on projects and real-world case studies. Certificate of completion included.
Custom In-House Training
Fully tailored programs at your facility or virtual. Aligned with your tools, processes, and therapeutic areas.
Modular Course Series
Monthly or quarterly workshops for continuous skill development from beginner to advanced levels.
On-Demand Support
Post-training consultation for specific project challenges and expert review of analyses.
Organizations We Train
Pharmaceutical & Biotech
Drug developers, medical affairs, regulatory departments, CROs
Academic Research
Universities, hospitals, government research labs
Public Health
Government agencies, parapublic institutions
Medical Device & MedTech
R&D, clinical affairs, post-market surveillance
Real Applications
12-Hour RWE Intensive for Pharma Company
Delivered a library of training material that is re-used to train and onboard new analysts.
Quarterly Causal Inference Series for Biotech
Monthly office-hours to tackle any challenges faced by client’s teams through Q&A and open discussions about potential solutions and foreseeable difficulties.
Regulatory Biostatistics Onboarding for CRO
Custom small group training to review and enhance statistical analyses of complex biotechnology experiments. Developed re-usable templates tailored to client’s needs for future statistical analyses.
Expert Consultant & Educator
University Teaching Experience
Lecturer at HEC Montreal and ETS Montreal with proven methods for making complex concepts accessible.
Real-World Consulting
Daily work with pharma and biotech organizations ensures training reflects current industry practices.
Thought Leader
Audiences of thousands follow me online for deep and incisive thought-leadership in biostatistics
Customized Content
Tailored to your therapeutic areas, software, regulatory needs, and team levels.
Ongoing Support
Follow-up assistance to ensure successful application of new skills.
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