Tag: ICH Q1E regression

Comparative Analysis: Linear vs. Non-Linear Shelf Life Models

Shelf life prediction is central to pharmaceutical stability studies and regulatory filings such as NDAs and ANDAs. While many professionals default to linear regression, complex degradation behavior may require non-linear models. This tutorial-style article compares linear and non-linear modeling approaches for shelf life estimation, guiding pharma professionals on when and how to use each method…

Shelf Life and Expiry, Shelf Life Prediction Models and Statistical Approaches

Regression Line Confidence Intervals in Shelf Life Estimation

Confidence intervals are a critical component of statistical modeling in pharmaceutical stability studies. When estimating shelf life, it’s not enough to simply fit a regression line through your stability data. You must account for the uncertainty around the predicted degradation trend, which is where confidence intervals come in. This article offers a tutorial-based walkthrough of…

Shelf Life and Expiry, Shelf Life Prediction Models and Statistical Approaches

Using Statistical Tools to Interpret Accelerated Stability Data

Using Statistical Tools to Interpret Accelerated Stability Data Applying Statistical Tools to Interpret Accelerated Stability Testing Data Accelerated stability studies offer pharmaceutical professionals rapid insight into the degradation behavior of drug products. However, interpreting these studies without robust statistical tools can lead to inaccurate conclusions, flawed shelf-life predictions, and regulatory pushback. This guide explores essential…

Real-Time and Accelerated Stability Studies, Stability Testing Types