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Sample Size and Power Analysis Solutions

The lack of proper sample size estimation is a no-go for regulatory submissions, and has been criticized as one of the major culprits in the reproducibility crisis in science.
Running the actual calculation is usually the easy part–knowing what to put in depends on context, constraints, and expert judgement.

As a specialized statistical consultant, I help you calculate optimal sample sizes and conduct thorough power analyses to ensure your studies are adequately powered to detect meaningful effects.

Whether you’re designing clinical trials, conducting market research, or planning academic studies, my expertise ensures your research investment yields reliable, regulatory-grade results.

Comprehensive Sample Size and Power Analysis Services

Transform your research ideas into statistically sound studies with proper sample size planning.

My complete sample size and power analysis services help researchers and organizations design studies that balance statistical rigor with practical constraints.

Study Design Optimization

Calculate precise sample sizes that maximize your research success.

  • Determine minimum sample sizes for detecting clinically meaningful differences
  • Optimize study designs to balance power, cost, and feasibility constraints
  • Calculate sample sizes for complex designs including cluster randomization
  • Plan for expected dropout rates and missing data patterns
  • Conduct power analyses for multiple endpoints and composite outcomes
  • Design adaptive sample size procedures for ongoing studies

Specialized Statistical Methods

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

Regulatory and Publication Support

Apply advanced power calculation techniques for complex research questions.

  • Power analysis for survival studies and time-to-event outcomes
  • Sample size calculations for non-inferiority and equivalence trials
  • Complex multi-level and hierarchical study designs
  • Power calculations for mediation and moderation analyses
  • Sample size planning for machine learning and predictive modeling studies
  • Bayesian sample size determination and decision-theoretic approaches

Real-World Constraints Integration

Balance statistical requirements with practical study limitations.

  • Incorporate budget constraints into sample size recommendations
  • Account for recruitment challenges and population availability
  • Optimize designs for limited time frames and resources
  • Plan for seasonal variations and temporal constraints
  • Address ethical considerations in sample size determination
  • Develop contingency plans for recruitment shortfalls

Post-Study Power Evaluation

Assess the statistical power of completed studies and ongoing research.

  • Conduct post-hoc power analyses for published studies
  • Assess power implications of protocol deviations
  • Calculate power for subgroup analyses
  • Document power for secondary and exploratory endpoints
  • Provide power-based interpretations of non-significant results

Ongoing Consultation

Beyond initial calculations, I provide:

  • Regular monitoring of recruitment progress against power requirements
  • Adaptive sample size modifications during ongoing studies
  • Training on power analysis software and calculation methods
  • Consultation on emerging power analysis methodologies
  • Support for complex multi-site and collaborative studies
  • Guidance on sample size planning for future research
Let's Talk

Why Work With Me For Your Sample Size and Power Analysis Needs?

Working with an expert benefits you in many ways

Time Efficiency

Focus on your expertise while I handle the complex statistical calculations. Together, we can provide robust sample size estimation.

Reduced Risk

Avoid underpowered studies that waste time and resources through proper planning.

Accurate Calculations

Use validated methods and current statistical standards to ensure your sample sizes are appropriate for your specific research questions and study designs.

Confidence in Results

Proceed with studies knowing they have adequate power to detect meaningful effects, leading to more successful research outcomes, higher publication rates, and regulator confidence.

The Sample Size and Power Analysis Process

My statistical consulting process is designed for ease and clarity

Discovery Phase

We connect for a brief call to understand your research objectives, primary endpoints, expected effect sizes, and study constraints including budget and timeline.

Design and Calculation

Together, we establish the analysis plan, including power requirements, significance levels, and statistical methods. All details come in a formal Service Proposal with clear deliverables and timelines.

Analysis and Documentation

I perform comprehensive sample size calculations using appropriate statistical methods, conduct sensitivity analyses, and prepare detailed documentation of assumptions and methods.

Deliverables

I deliver complete sample size reports with justifications, sensitivity analyses, power curves, and publication-ready methodology sections for protocols, manuscripts, and regulatory submissions.

Need help with sample size planning?
From basic power calculations to complex adaptive designs, I offer expertise and collaboration. Together, we can ensure your research studies are properly powered for success.

Book Express Consultation

Case Studies

I worked on large medical datasets to answer causal questions related to epidemiological determinants of disease through complex exposures. Challenges included selection bias, confounding, and missing data. I successfully developed a strategy that gave researchers confidence in their results.
I’ve worked with R&D scientists who were simultaneously running multiple experiments to answer important questions about their cutting-edge products that would have a direct impact on various stakeholders. My role was to help in designing and analyzing the experiments, balancing the conceptual purity of the Design of Experiments theory (DoE) with pragmatic concerns relating to costs and timeline. Most of this work is sealed behind a Non-Disclosure Agreement (NDA) which prevents me from elaborating more.

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:

5/5

"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

5/5

"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

5/5

"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

5/5

"Thanks to him, statistics appeared to me as solutions rather than obstacles."

Mathieu Dubé

Research Associate, CRCHUM

Read Full Collaborator Testimonials
Justin Belair - Causal Inference Expert

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 help with sample size planning?
From basic power calculations to complex adaptive designs, I offer expertise and collaboration. Together, we can ensure your research studies are properly powered for success.

Let's Talk

Tools and Technologies

Advanced Statistical Software

Using specialized power analysis software and programming languages like R and Python, along with dedicated tools like nQuery, PASS, and SAS/STAT, I ensure accurate and reliable sample size calculations.

Custom Programming Solutions

I can develop custom power analysis programs for unique study designs and complex statistical models, including simulation-based power calculations for non-standard scenarios.

Industry Standard Tools

I'm experienced with all major statistical software packages including R, Python, SAS, SPSS, Stata, and specialized clinical trial software for regulatory submissions.

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.