Independent Statistical and Epidemiological Consulting for Clinical Research

STEP-CM Analytics

Insightful analyses to empower your expertise.

Get in Touch

About Me

My name is Ben Ouyang. For the past 20 years, I have worked at the intersection of epidemiology, statistics and comparative medicine to improve human and animal lives. This cross-functional experience has taught me how to use statistics to empower the non-statistical expert. My goal is to help you understand your dataset so that you can be confident in leaning on your own expertise to make the decisions you need to make.

What We Do

Statistical Analysis

[Description of service — e.g., mixed-effects models, regression, count data, survival analysis.]

Study Design & Methods

[Description — e.g., protocol development, sample size justification, analysis planning.]

Epidemiological Research

[Description — e.g., observational study design, causal inference, disease surveillance.]

Reporting & Manuscript Support

[Description — e.g., statistical sections for peer-reviewed publications, regulatory submissions.]

Credentials & Experience

  • PhD, Epidemiology University of Guelph, 2021
  • Doctor of Veterinary Medicine (DVM/VMD) University of Pennsylvania, 2014
  • Applied Mathematics & Statistics Johns Hopkins University, 2007
  • Areas of Expertise Biostatistics · Clinical Research · Human & Veterinary Epidemiology · Causal Inference · Real-World Data & Evidence · Hierarchical Data Modeling · Data Visualizattion
  • Clients & Sectors [e.g., Academic institutions, human and animal hospitals, federal health agencies, veterinary organizations, biotechnology]

Get in Touch

Available for project-based engagements, collaborations, and advisory work. Reach out to discuss your needs.

Emailstepcmanalytics@gmail.com

LocationOntario, Canada

LinkedInlinkedin.com/in/yourprofile