Valid Statistical Rationales for Sample Sizes
Training
Online
*Indicative price
Original amount in USD:
$ 190
Description
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Type
Training
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Level
Advanced
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Methodology
Online
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Class hours
2h
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Duration
1 Day
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Start date
September
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Virtual classes
Yes
This webinar provides guidance on how to justify such sample sizes, and thereby indirectl provides guidance on how to choose sample sizes.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Medical training
- Healthcare
- Confidence Training
- Education and training
- Online Trainings
- Online Courses
- Clinical Trial
- Pharmaceutical manufacturing
- Knowledge
- Compliance Trainings
Teachers and trainers (1)
Adam Fleming
Event Manager
Compliance4All is a professional trainings provider for the regulated industries. It offers professional trainings for regulatory compliance professionals and offers innovative strategic consulting and advice to a broad range of organizations. These services help them to be compliant with regulatory requirements. . Compliance4All has a panel of acclaimed Experts whose professional trainings help regulatory professionals and organizations in a number of ways and take them to their goal of meeting regulatory requirements.
Course programme
This webinar explains the logic behind sample-size choice for several statistical methods that are commonly used in verification or validation efforts, and how to express a valid statistical justification for a chosen sample size.
The statistical methods discussed during the webinar include the following:
- Confidence intervals
- Process Control Charts
- Process Capability Indices
- Confidence / Reliability Calculations
- MTBF Studies ("Mean Time Between Failures" of electronic equipment)
- QC Sampling Plans
Why should you Attend: Almost all manufacturing and development companies perform at least some verification testings or validation studies of design-outputs and/or manufacturing processes, but it is sometimes difficult to explain the rationale for the sample sizes used in such efforts. This webinar provides guidance on how to justify such sample sizes, and thereby indirectly provides guidance on how to choose sample sizes. Those justifications can then be documented in Protocols or regulatory submissions, or can be given to regulatory auditors who may ask for them during onsite audits at your company. Thus, this webinar is designed to help you avoid regulatory delays in product approvals and to prevent an auditor from issuing you a nonconformity.
NOTE: This webinar does not address rationales for sample sizes used in clinical trials.
Areas Covered in the Session:
- Introduction
- Examples of regulatory requirements related to sample size rationale
- Sample versus Population
- Statistic versus Parameter
- Rationales for sample size choices when using
- Confidence Intervals
- Attribute data
- Variables data
- Statistical Process Control C harts (e.g., XbarR)
- Process Capability Indices (e.g., Cpk )
- Confidence/Reliability Calculation
- Attribute data
- Variables data (e.g., K-tables)
- Significance Tests ( using t-Tests as an example )
- When the "significance" is the desired outcome
- When "non-significance" is the desired outcome (i.e., "Power" analysis)
- AQL sampling plans
- Confidence Intervals
- Examples of statistically valid "Sample-Size Rationale" statements
Who Will Benefit:
- QA/QC Supervisor
- Process Engineer
- Manufacturing Engineer
- QA/QC Technician
- Manufacturing Technician
- R&D Engineer
John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical.
Additional information
Valid Statistical Rationales for Sample Sizes
*Indicative price
Original amount in USD:
$ 190