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Course details

  • Duration

    4 h 0 m
  • Language


(105-OD) Noncompartmental Data Analysis

Cost - $299 (Academia $150)

This course is a comprehensive overview of noncompartmental analysis of pharmacokinetic data. This course will cover the basics through the most complex areas of noncompartmental analysis. The course includes video presentations, spreadsheet-based problems, and guided answers. Anyone with interest in pharmacokinetics, drug disposition, drug metabolism should take this course. In addition, this course is an excellent primer for pharmacists, physicians, and other healthcare professions that work with pharmaceutical agents. In addition, clinical trial managers and clinical research associates would benefit from this course.

Contact for academic discount

Software Used

Using a spreadsheet (such as Microsoft Excel) is recommended for doing the calculations.

Accessing the Course

After registering for this course, login to and see the course under the Catalog Section ‘My Courses’. 

You will have access to this course for a period of 3 years after the purchase.

The purchase is for a single seat in the course. No sharing the login between different individuals is allowed. Additional seats must be purchased if more than one person wishes to take the training course.

Course Length: 

The course provides approximately 2 hours of video instruction which includes a practical component that you can do at your own pace. It is expected to take participants about 4 hours to complete, including time to perform the tasks in a spreadsheet program.




Tom Jones

Tom Jones has helped thousands of scientists become proficient with using Certara software in their research in the pharmaceutical industry. After completing his Ph.D. in analytical chemistry, he spent several years as an assistant professor, during which time he applied molecular modeling to teaching and research in chemistry, and then came to Certara, where for 18 years he has applied his passion for teaching scientific software applications. At first Tom was focused exclusively on molecular modeling applications in drug discovery and later broadened his expertise to include informatics and PK/PD modeling and analysis. He has created many training manuals, and you may very well have heard his voice in one of the numerous webinars and video demos he has created to help scientists become more proficient with Certara software.

Training material

  • Welcome!
  • Course Navigation
  • Course Materials
  • How to get help
  • Questions
  • Course Overview
  • Observed Parameters
    • Understanding Concentration Data and Observed Parameters
    • Review of Observed Parameters - Part 1
    • Effect of Study Design on Observed Parameters
    • Review of Observed Parameters - Part 2
  • Half-Life
    • Half-Life: Definition and Uses
    • Calculating Half-Life from Plasma Data
    • Instructions for Exercise 1: Half-Life Calculation
    • Solving Exercise 1: Half Life
    • Calculating Half-Life from Urine Data
    • Review of Half-Life
  • Area under the Curve (AUC)
    • Definition and Interpolation
    • Instructions for Exercise 2: AUC Calculation
    • Solving Exercise 2: AUC Calculation
    • Extrapolation to Infinity
    • Instructions for Exercise 3: Extrapolation to Infinity
    • Solving Exercise 3: Extrapolation to Infinity
    • Using AUC to Make Decisions
  • Clearance
    • Definition and Calculations
    • Extraction Ratio, Intrinsic Clearance and Changes in Clearance
    • Review of Clearance
  • Statistical Moments
    • Definition and Mean Residence Time
    • Mean Input Time and Area Under the Moment Curve (AUMC)
    • Instructions for Exercise 4: Calculate AUMC
    • Solving Exercise 4: Calculate AUMC
    • Review of Statistical Moments
  • Data Presentation
    • Presenting PK Results: Observations to Conclusions
    • Review of Data Presentation
  • Bioequivalence
    • Bioequivalence: Definition, Calculation, Equivalence margins, and Reporting
    • Review of Bioequivalence
  • Study Design Considerations
    • Overview of Study Design Principles
    • Hypothesis to Endpoints
    • Population, Schedule and Procedures
    • Review of Study Design Considerations
  • Limitations
    • Limitations of Noncompartmental Analysis
    • Review of NCA Limitations
  • Course Summary
  • End of On-Demand Course Survey v2