Book Online Tickets for Statistical Justification for Using Smal, Palo Alto.  In this webinar attendees will learn a statistically valid method for justification of small sample sizes for use in product or process validation studies (e.g. performed during design verification phase of design control). A different method w

Statistical Justification for Using Small Sample Sizes and only 3 Lots in Process or Product Validation

 

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About The Event

 In this webinar attendees will learn a statistically valid method for justification of small sample sizes for use in product or process validation studies (e.g. performed during design verification phase of design control). A different method will be explained for how to statistically justify the number of lots or batches used in such studies, a number that can be as low as 3.

Why Should You Attend:

Almost all manufacturing and development companies perform at least some process validation studies, but it is difficult to decide how many Lots to include in the study and how large the Sample per Lot should be. A "statistical" justification and method for determining Sample Sizes, and a statistical justification for using only 3 Lots (which is the typical number, especially in industries regulated by the FDA). 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.

This webinar explains how to choose and justify a sample-size for Lots that are included in Process Validation studies. The statistical methods discussed during the webinar include the following:

  • Confidence intervals
  • Confidence / Reliability Calculations (for variables & attributes)

It then explains how to analyze those samples in such a way that they provide statistically valid final %Reliability for the production Process itself. One example is worked through completely.

This webinar does not address clinical trials, nor bulk-solution processes. It applies to unitized products such as pills, drug-filled syringes, medical devices, and components.

Areas Covered in the Webinar:

  • Introduction
  • Regulatory requirements
  • Basic concepts and vocabulary
  • Calculation of Sample Size to be taken from each Lot in the Validation study
  • Calculation of % Confidence and %Reliability ( = %-in-specification) for each Lot
  • Calculation of % confidence and %Reliability for the Production Process
  • Worked example (with all calculations)
  • Example summary "justification" statement
  • Access to instructor's website, for downloading free relevant statistical software

Free Material:

  • Working and Demo statistical software
 

Who Will Benefit:

  • QA/QC Supervisor
  • Process Engineer
  • Manufacturing Engineer
  • QC/QC Technician
  • Manufacturing Technician
  • R&D Engineer

Instructor Profile:

John N Zorich

John N Zorich
Statistical Consultant and Trainer, Statistical Consultant

John Zorich has spent almost 40 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 next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. 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. His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.

Refund Policy

Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

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