Course Resources

Documentation, references, and further reading for Noncompartmental Analysis in R.
Tip

How to use this page: NCA is practical and algorithmic. Use this page when you want official package documentation, deeper PK background, or regulatory context for reporting and interpretation.

Core NCA and PK References

  • Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications. Swedish Pharmaceutical Press.
  • Bonate PL. Pharmacokinetic-Pharmacodynamic Modeling and Simulation. Springer.
  • Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics: Concepts and Applications. Wolters Kluwer.
  • Gibaldi M, Perrier D. Pharmacokinetics. Marcel Dekker.

R Package Documentation

Regulatory and Scientific Context

Key NCA Concepts

  • Concentration-time profiles
  • Nominal time and actual time
  • Dose records and concentration records
  • Linear and log-linear AUC interpolation
  • \(C_{max}\) and \(T_{max}\)
  • \(AUC_{last}\), \(AUC_{inf}\), and partial AUC
  • Terminal phase selection
  • Half-life estimation
  • Accumulation and steady state
  • BLQ and missing data handling
  • Reporting tables and audit mindset

Practical Workflow References

These topics are especially useful when building reliable NCA workflows in R.

  • Dataset structure and profile definition
  • Dose object creation
  • Interval definition
  • Terminal phase diagnostics
  • Visual QC
  • Reproducible reporting
  • Traceability from input data to final tables

Suggested Reading Path

If you are new to NCA, begin with basic PK concepts: concentration-time curves, exposure, \(C_{max}\), \(T_{max}\), and AUC.

Then move to PKNCA documentation and focus on how profiles, dose records, and intervals are represented in code.

For applied or regulatory work, spend extra time on terminal phase diagnostics, BLQ handling, and reporting traceability.