Advanced Survival Analysis Solutions
Understanding time-to-event data is critical for making informed decisions in healthcare, business, and research applications.
As a specialized survival analysis consultant, I help you extract meaningful insights from your time-to-event data, whether you’re studying patient outcomes, equipment failure rates, or customer retention patterns.
From basic Kaplan-Meier curves to complex Cox regression models, my expertise ensures your survival analysis delivers reliable, actionable results that drive better decision-making.
Everything I do is regulatory-grade, which ensures higher reliability, publication rates, and regulator-confidence. No corners are cut.
Comprehensive Survival Analysis Services
Transform your time-to-event data into clear, statistically sound conclusions.
My specialized survival biostatistics services help researchers and organizations answer critical questions about duration, risk factors, and comparative effectiveness.
Study Design & Planning
Design robust survival studies that capture the right data for meaningful analysis.
- Plan clinical trials and observational studies for time-to-event outcomes
- Determine appropriate sample sizes using survival-specific power calculations
- Identify key covariates and potential confounders for survival models, accounting for complex time-varied confounding patterns
- Design data collection protocols that handle censoring appropriately
- Establish follow-up schedules that balance cost with statistical power
- Create analysis plans that align with regulatory and publication requirements
Advanced Statistical Methods
Access the full spectrum of survival analysis techniques for your specific needs.
- Kaplan-Meier survival curves with confidence intervals and log-rank test for group comparisons
- Cox proportional hazards models for multivariable risk assessment
- Parametric survival models (Weibull, exponential, log-normal) when appropriate
- Competing risks analysis for multiple endpoint studies
- Frailty models for correlated survival data
- Time-varying coefficient models and extended Cox regression
- Bayesian survival analysis for complex hierarchical data
Clinical & Healthcare Applications
Specialized survival biostatistics for medical research and healthcare settings.
- Treatment effectiveness and comparative outcomes research
- Prognostic factor identification and risk score development
- Drug safety monitoring and adverse event time analysis
- Health economics and cost-effectiveness modeling with survival endpoints
- Biomarker validation studies using time-to-event outcomes
- Meta-analysis of survival data across multiple studies
- Regulatory submission support with survival endpoints
Business & Industrial Applications
Apply survival analysis techniques to solve real-world business problems.
- Customer churn analysis and retention modeling
- Equipment failure analysis and predictive maintenance
- Warranty claim analysis and cost prediction
- Employee turnover and tenure analysis
- Product lifecycle analysis and market penetration studies
- Risk assessment for insurance and financial services
Data Management & Validation
Handle complex survival data with proper statistical rigor.
- Clean and validate time-to-event data with appropriate censoring handling
- Address missing data patterns specific to survival studies
- Implement quality control procedures for longitudinal follow-up data
- Create analysis-ready datasets with proper time scale definitions
- Perform assumption checking for proportional hazards and other model requirements
- Document data transformations and analysis decisions for reproducibility
Results Communication & Reporting
Present survival analysis findings with clarity and professional standards.
- Create publication-quality survival curves and forest plots
- Generate comprehensive statistical reports with methodology sections
- Develop executive summaries highlighting key survival insights
- Prepare regulatory-compliant documentation for submissions
- Design interactive dashboards for ongoing survival monitoring
- Craft peer-review responses addressing survival analysis methodology
Why Work With Me For Your Survival Analysis Needs?
Working with a survival analysis expert provides significant advantages for your research and business objectives.
Time Efficiency
Methodological Rigor
Accurate Interpretation
Confident Decision-Making
The Survival Analysis Process
My consulting process ensures thorough, systematic analysis of your time-to-event data.
Discovery Phase
Project Planning & Design
Data Analysis & Implementation
Results & Deliverables
Need expert survival analysis support?
From study design to complex time-to-event modeling, I provide the statistical expertise to maximize the impact of your research and business initiatives
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 Statistics and Causal Inference 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 expert survival analysis support?
From study design to complex time-to-event modeling, I provide the statistical expertise to maximize the impact of your research and business initiatives
Tools and Technologies
Statistical Software Expertise
I use industry-standard tools including R (survival, survminer packages), Python (lifelines, scikit-survival), and SAS for comprehensive survival analysis with publication-quality visualizations.
Advanced Programming Capabilities
My programming expertise enables integration of complex data processing with sophisticated survival modeling, including machine learning approaches to survival analysis and automated reporting systems.
Broad Software Experience
I have extensive experience with SPSS, Stata, and other statistical packages commonly used in survival analysis across different industries and research settings.
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.