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stab: an R package for drug stability data analysis.

Hsin-ya Lee1, Pao-chu Wu, Yung-jin Lee

  • 1Faculty of Pharmacy, Kaohsiung Medical University, No. 100, Shih-chuan 1st Rd., Sanmin District, Kaohsiung City 807, Taiwan. u9583002@kmu.edu.tw

Computer Methods and Programs in Biomedicine
|April 6, 2010
PubMed
Summary
This summary is machine-generated.

This study developed an R package to calculate drug product shelf life using stability data. It follows ICH guidelines for accurate expiration date determination in the pharmaceutical industry.

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Last Updated: Jun 14, 2026

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Area of Science:

  • Pharmaceutical Science
  • Drug Development
  • Regulatory Science

Background:

  • Drug stability studies are crucial in the pharmaceutical industry to assess active pharmaceutical ingredient (API) degradation over time.
  • Understanding API behavior under various environmental factors is essential for product quality and safety.
  • Establishing a reliable expiration date, or shelf life, is a primary objective of these studies.

Purpose of the Study:

  • To develop a novel R package for calculating drug product shelf life.
  • To implement algorithms suggested by the ICH Tripartite Guidelines for Q1E Evaluation.
  • To provide a standardized tool for analyzing drug stability data and determining expiration dates.

Main Methods:

  • Development of an R package incorporating ICH Q1E evaluation algorithms.
  • Utilizing drug stability data, which measures API degradation over time.
  • Applying statistical methods to predict shelf life based on degradation kinetics.

Main Results:

  • Successful creation of an R package for shelf life calculation.
  • Demonstrated ability to apply ICH Q1E guidelines for expiration date estimation.
  • Provided a reproducible method for analyzing drug stability data.

Conclusions:

  • The developed R package offers a valuable tool for the pharmaceutical industry.
  • Standardized calculation of shelf life enhances regulatory compliance and product quality.
  • Accurate shelf life determination is critical for ensuring drug efficacy and patient safety.