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Innovative Statistical Approaches for Clinical Trials


This intermediate-advanced online course answers common questions and addresses topics such as modeling, multiplicity adjustments, non-inferiority, data mining, adaptive designs, Bayesian principles, and survival methods. This online course will increase the level of statistical knowledge of nonstatisticians so that collaborative efforts of statisticians and nonstatisticians on clinical investigative teams can be improved.

What you will learn

  • Focuses on answering common questions and addressing topics such as:
    • Modeling
    • Multiplicity adjustments
    • Non-inferiority
    • Data mining
    • Adaptive designs
    • Bayesian principles
    • Survival methods
  • Use knowledge gained from the course to improve your contribution to clinical investigative teams
  • Interactive discussions and activities to practice the concepts
  • Applying advanced statistics to designing studies, analyze data, and interpret results

Who should attend?

  • Those who have completed Clinical Statistics for Nonstatisticians
  • Clinical research professionals
  • Project managers
  • Decision makers who use statistics to describe potential impact on studies

Learning objectives

At the conclusion of this activity, participants should be able to:

  • Identify ways to use statistics to make better decisions in the drug development process
  • Describe what a statistical model can and cannot do in terms of trial design and management
  • Recognize why multiplicity adjustments may be necessary and identify the pros and cons of these adjustment methods
  • Describe clinical equivalence and non-inferiority clinical trial designs
  • Describe the basis of Bayesian methods
  • Describe how survival trials can be analyzed and adapted
  • Effectively speak to co-workers and management using advanced statistical terms