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Understanding the Statistical Considerations for Quantitative ICH Guidelines


Thursday, March 30, 2017 at 8:30 AM - Friday, March 31, 2017 at 4:30 PM (EDT)

Understanding the Statistical Considerations for Quanti...

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Ticket Type Sales End Price Fee Quantity
Seminar One Registration (Early bird price)
Registrations after March 10, 2017 - $1899
1d 3h 25m $1,699.00 $0.00
Seminar One Registration 1d 3h 25m $1,899.00 $0.00
Seminar One Registration (With 2 Nights Stay) 1d 3h 25m $2,099.00 $0.00

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Event Details

Course Description:

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.


Learning Objective:

Upon completing this course participants should be able to:

  • 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 will Benefit:

This course is designed for people responsible for developing, maintaining and/or improving clinical and laboratory monitoring programs and interpreting the results from such. This includes individuals that have data monitoring responsibilities. The following personnel will benefit from the course:

  • Quality Managers
  • Quality Professionals
  • Assay Development Scientists
  • Research Scientists
  • Clinical/Laboratory Data Analysts
  • Laboratory Data Managers


For Registration

Note: Use coupon code NB5SQH8N and get 10% off on registration.

Have questions about Understanding the Statistical Considerations for Quantitative ICH Guidelines? Contact ComplianceOnline

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When & Where

The Citrus Club
255 South Orange Avenue, Suite 1800
Orlando, FL 32801

Thursday, March 30, 2017 at 8:30 AM - Friday, March 31, 2017 at 4:30 PM (EDT)

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Enhancing global compliance, creating a world where quality and compliance professionals, regulators, and government agencies come together to help the world comply with the intent and the spirit of laws, policies and mandates, ensuring continuous improvement in global operations, quality & safety.

Making sure that we are responsible corporate citizens helping our constituents build a more responsible enterprise, one which operates with high quality , under a code of ethics, and with process discipline to ensure greater shareholder returns.

Keeping things simple and straight forward , so that we all can indeed improve the quality of our processes, our work, our businesses and enhance compliance globally.

Being inclusive, giving the process experts ( & novices! ), compliance professionals, quality champions, and regulatory agencies a voice so that all of us can contribute and make a difference.

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Understanding the Statistical Considerations for Quantitative ICH Guidelines
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