In this course, a variety of case studies will be used to present the most important aspects to consider for the sound design and analysis of survival studies.
Course Outline
The recommended duration for this course is 2 online session(s).
The most popular version of this course comprises 2 sessions described as follows:
Session 1: Survival Studies- Lifetime Data: Specific Features
- Modeling Survival Curves
- Non-parametric Approach
- Parametric Approach
- Semi-Parametric Approach
Session 2: Predicting Survival Time &
Advanced Methods- Kaplan-Meier Methodology
- Mechanism
- Comparing curves
- The Cox proportional hazards model
- Time-dependent Covariates
- Hazard ratios
- How to report results
Target Audience
This module is intended for people who want to improve the way to design and analyse survival studies with the increased knowledge of the most recent tools in this field. It is also intended for people who need to evaluate the scope and validity of existing shelf-life and stability studies. Finally, people who want to compare their current practices with the regulatory requirements and recommendations will find the course very useful.This module introduces the important ideas in statistics and data analysis applied to the field of survival studies. It assumes that participants have no previous knowledge of statistics or that they have not used it for a long time.
