Research and Markets has announced the addition of the "Understanding the Statistical Considerations for Quantitative ICH Guidelines: 2-Day Hands-On Workshop" conference to their offering.
This course is designed to introduce to individuals the understanding and interpretation of the statistical concepts with reference to certain quantitative ICH Guidelines that apply across laboratory (drug development) and clinical development (drug/device) procedures such as analytical methods in validation and acceptance criteria in calibration procedures, risk management and process monitoring as well as dealing with uncertainties and other relevant issues. It is not a course in statistics but introduces the participant to a hands-on approach to the statistical techniques one uses, how they are applied and reasonably interpreted and understood. One will address the various challenges facing pharmaceutical and biotechnology companies when it comes to quantifying results in a meaningful interpretable manner through tabulations and graphical presentations.
In this two-day workshop seminar one will learn the different regulatory agencies' expectations of the quantification and development of a sound statistical monitoring of process control that are accepted, effective, and efficient. Participants will become familiar with the important aspects of the statistical methods and learn how organizations are expected to apply these guidelines.
- Evaluate linear and other quantitative measurement procedures.
- Distinguish the difference between confidence and tolerance intervals.
- Evaluate the sensitivity of the sample size in given procedures.
- Evaluate laboratory/clinical data results based on risk management and design space issues.
- Interpret alternative approaches to statistical process control in reference to data distributional formats.
- Discuss relevant FDA requirements and ICH guidelines.
Who Should Attend:
- Quality Managers
- Quality Professionals
- Assay Development Scientists
- Research Scientists
- Clinical/Laboratory Data Analysts
- Laboratory Data Managers
Day 1 (8:30 AM 4:30 PM)
A. Course Motivation and Overview of ICH Methodology (Including Q2A, Q2B, Q8 and Q9)
B. Introduction to the simple regression model
C. Outlier strategies using the linear model in calibration methods
D. Confidence and tolerance bounds on risk models
Day 2 (8:30 AM 4:30 PM)
A. Discussion of risk management in general
B. Introduction to validation of models in hazard assessment and risk management
C. Alternatives to statistical process control and capability
For more information about this conference visit http://www.researchandmarkets.com/research/gpvbk5/understanding_the.
View source version on businesswire.com: http://www.businesswire.com/news/home/20161109006174/en/Business Wire
Last updated on: 09/11/2016
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