Methods & Analytics

The CRU maintains an experienced in-house team of biostatisticians with expertise in research methods and analytics. Senior team members bring over a decade of experience, providing valuable guidance on study design, data management, statistical analysis, and research methodology. This expertise supports high-quality research, promotes research integrity, and fosters a collaborative environment.

How we can help

Our M&A team offers comprehensive biostatistical support throughout every stage of your research project, ensuring a streamlined and effective process. At the outset, we assist with study setup, including the development of analysis plans, sample size justification, pilot analyses, and grant proposals. We are equipped to handle both randomized clinical trials and observational studies, including data linkage with administrative health records. Our data science capabilities extend to data cleaning, ETL processes, machine learning methods, predictive modeling, and data dashboarding.

A significant portion of our work involves manuscript preparation, where we contribute statistical analysis, interpretation, and writing of the methods section. This support continues all the way through responding to comments and requested edits from reviewers. We also conduct interim analyses for clinical trials, providing independent third-party evaluations for Data Safety Monitoring Boards. Our aim is to provide the expertise and tools necessary to ensure that your research is both robust and actionable.

Study Setup

During the design and build phase of your study, we can aid you with:

  • Study Size and Power Calculations
  • Generating a Statistical Analysis Plan
  • Consulting on Grants and Applications
  • Randomization, including adaptive randomization strategies such as the ‘Minimum Sufficient Balance’ method

Data Work

You've collected thousands of data points, now what? Let us help you with:

  • Statistical analysis, including methods like:
    • Descriptive analyses
    • Multivariable modelling
    • Longitudinal modelling
    • Propensity-matched case-control analyses
    • Interrupted time series analysis
    • And anything in-between
  • Interim analysis for your clinical trial
  • Data export/cleaning scripts, Export Transform Load (ETL)
  • Machine learning predictive analysis
  • Methods section publication support
  • Cohort extraction and linkage of administrative health data
  • Data dashboarding and visualization