Advanced Causal Inference Solutions
Understanding true cause-and-effect relationships is crucial in both research and business applications.
As a specialized causal inference consultant, I help you navigate the complexities of causal analysis, from study design to implementation.
Whether you’re a researcher seeking to publish groundbreaking findings or a business looking to make data-driven decisions, my expertise ensures your causal conclusions are robust and reliable.
Comprehensive Causal Inference Services
Turn your complex causal questions into clear, actionable insights.
My end-to-end causal inference services help researchers and organizations uncover true cause-and-effect relationships in their data.
Study Design & Planning
Transform your research questions into robust causal studies that stand up to scrutiny.
• Design randomized controlled trials, A/B tests, and quasi-experimental studies
• Identify appropriate causal identification strategies
• Develop sampling frameworks that minimize selection bias
• Plan measurement approaches that capture key confounders
• Conduct power analyses specific to causal inference methods
• Create pre-analysis plans that align with publication requirements
Specialized Industry Solutions
Tailored causal inference approaches for specific sectors.
• Healthcare: Comprehensive treatment effectiveness and policy impact studies
• Business: Advanced marketing attribution and strategic pricing analysis
• Social Sciences: Rigorous program evaluation and policy outcome assessment
• Technology: Sophisticated A/B testing and product impact measurement
• Pharmaceuticals: Evidence-based real-world effectiveness studies
• Economics: In-depth policy intervention and outcome analysis
Results Communication & Publication
Present your causal findings with clarity and impact.
• Generate publication-ready figures and tables meeting journal standards
• Develop comprehensive methodology sections for academic manuscripts
• Document assumptions and limitations with systematic transparency
• Create compelling executive summaries for key stakeholders
• Craft thorough responses to peer-review feedback
• Prepare robust documentation for regulatory submissions
• Design interactive visualizations for complex causal relationships
Advanced Causal Methods Implementation
Access cutting-edge causal inference techniques tailored to your needs.
• Propensity score matching and inverse probability weighting
• Instrumental variables analysis
• Difference-in-differences and synthetic control methods
• Regression discontinuity designs
• Mediation analysis and causal pathways in Structural Equation Models
• Double/debiased machine learning for causal inference
• Targeted maximum likelihood estimation (TMLE)
• Causal AI and modern machine learning approaches
Real-World Data Analysis
Transform messy real-world data into credible causal insights.
• Handle complex confounding patterns through advanced statistical methods
• Address selection bias and missing data with robust imputation techniques
• Conduct comprehensive sensitivity analyses for unmeasured confounding
• Seamlessly integrate and harmonize multiple data sources
• Implement appropriate statistical adjustments for bias control
• Ensure complete reproducibility through documented workflows
• Design and maintain scalable analysis pipelines for longitudinal studies
Ongoing Support
Beyond the initial analysis, I provide:
• Comprehensive code review and rigorous methodology validation
• Expert training sessions on advanced causal inference methods
• Dedicated support for iterative and follow-up analyses
• Strategic guidance on future research study designs
• Professional assistance with peer review response preparation
• Regular updates on emerging methodological developments
Why Work With Me For Your Causal Inference Needs?
Working with a expert benefits you in many ways
Time Efficiency
Concentrate on your main strengths while streamlining research tasks.
Reduced Stress
Let my expertise guide you through the challenges of causal inference with assurance.
Accurate Results
Use cutting methods based on rigorous statistics, machine learning, and Causal AI. By leveraging your subject-matter expertise, we can use graphical models, randomization, or any other identification strategy to accurately assess causal effects.
Use Results With Confidence
Not only will your results stand out by their accurate and robust statistical approach, but they will directly reflect the impact of scientific or business decisions on your outcome variables of choice. This is why causal inference matters, after all!
The Causal Inference Process
My statistical consulting process is designed for ease and clarity
1
Discovery Phase
We connect for a brief call to understand your causal questions, data availability and quantity, identification of subject-matter expertise, and any other questions you might have.
2
Project Plan and Study Design
Together, we establish the project scope, including what you’ll get, when you’ll get it, and how much it will cost. All this comes in a formal Service Proposal – no surprises.
We identify any causal identification strategies, determine the correct sample size, etc.
3
Data Analysis and Implementation
I jump into your project with skill, providing clear insights and effective outcomes. I handle complex issues like analyses with longitudinal data, missing data, confounding, selection bias, etc.
4
Deliverables
I deliver insightful reports with publication-ready graphics, tables, a methodology report, and any other deliverable that you have a need for.
For urgent questions, my on-demand consultation service offers quick, cost-saving solutions.
Case Studies
Don’t Just Take My Word For It…
The positive experiences of my happy collaborators showcased through their glowing testimonials, serve as powerful proof of trustworthiness and the impact of the results I deliver. These testimonials offer real-life examples of how I’ve helped research projects succeed. Here are some of their thoughts:
"He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English."
Elsa Brunet-Ratnasginham
Post-doc, UCSF
"I had never before worked with a biostatistician who speaks the same language as me! [...] Personally, our collaboration has allowed me to reconcile with statistics."
Manon Nayrac
Post-doc, CRCHUM
"I highly recommend Justin and his team for your data processing needs in order to have a more robust statistical model than the tests we are accustomed to conducting as biologists!"
Gérémy Sannier
Ph.D candidate, CRCHUM
"Thanks to him, statistics appeared to me as solutions rather than obstacles."
Mathieu Dubé
Research Associate, CRCHUM
My Expertise
As a university-level statistics lecturer with a substantial LinkedIn following, scientists from all over the world come to me for my unique combination of academic excellence and practical experience in statistics and causal inference.
I’ve applied causal inference methods in varied settings in both academia and industry: in biomedical sciences such as nephrology, immunology, neuroscience, virology, occupational therapy, epidemiology, dermatology, psychiatry, and oncology; in natural sciences such as agronomy, ecology, and zoology; and social sciences such as communication, and psychology. The list keeps on growing!
I am currently writing an advanced textbook that I hope will give a young generation of academic and industry researches the tools needed to grapple with the complexities of causal inference, and maybe even develop a passion for the subject!
Need help with causal inference? From research guidance to complex hands-on causal analyses, I offer expertise and collaboration. Together, we can maximize the success of your initiatives and projects.
Tools and Technologies
Using top-of-the-line statistical software like R and Python, along with cutting-edge data visualization, I make sure your data speaks volumes.
I can leverage my deep understanding of computer programming to robustly integrate complex data processing operations into sophisticated statistical modeling and data analytics pipelines, including but not limited to machine learning and causal AI methods.
I’ve also used most of the available statistics software in the past: SAS, SPSS, Stata, Minitab, GraphPad Prism, SPlus, and more.
Client Industries Served
My statistical consulting expertise extends beyond specific industries, serving clients in fields ranging from R&D in biotechnology and pharmaceuticals to researchers and Principal Investigators (PI) in academia.