Webinar on Confidence-Reliability Calculations and Statistically Valid Sample Sizes
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Website http://bit.ly/1ltrknK |
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Category Webinar, Health, Medical, Pharma, Clinical
Deadline: June 24, 2014 | Date: June 24, 2014
Venue/Country: usa, U.S.A
Updated: 2014-04-22 14:09:42 (GMT+9)
Call For Papers - CFP
Overview:The webinar begins with a discussion of relevant regulatory requirements, as motivation for calculating "confidence/reliability". Then, some vocabulary and basic concepts are discussed.Next, detailed descriptions are given for how to calculate confidence/reliability for data that is either pass/fail (i.e., "attribute" data), normally-distributed measurement data, non-normally distributed measurement data that can be transformed into normality, or non-normally distributed measurement data that cannot be transformed into normality. Spreadsheets are shown as examples of how to implement the methods described in the webinar. A final discussion is provided on how to introduce the methods into a company. Why should you attend: All manufacturing and development companies perform testing and/or inspections that involve concluding whether or not a product or lot is acceptable vs. design or QC specifications. Such test/inspections may occur during design verification/validation or during incoming or final QC. The most informative method for analyzing the data that results from such activities is the calculation of the product's or lot's "reliability" at a chosen "confidence" level (where "reliability" means "in-specification"). Such a method produces information that is more valuable than simply that the given product or lot "passed" (as is the case when "AQL Attribute Sampling Plans" are used) or a % in-specification statement without any corresponding confidence statement (as is the case with AQL Variables Sampling Plans and with Process Capability calculations).The output of a "Confidence/Reliability" calculation is a definitive statement that the given product or lot has a specific % in-specification, which conclusion we can state with a specific level of confidence (e.g., 95% confidence of 99% reliability, or 90% confident of 93% reliability"). Areas Covered in the Session:Regulatory RequirementsVocabulary and ConceptsAttribute DataNormal DataNormal Probability PlottingNon-Normal Data that can be normalizedReliability Plotting (for data that cannot be normalized)Implementation RecommendationsWho Will Benefit:QA/QC SupervisorProcess EngineerManufacturing EngineerQC/QC TechnicianManufacturing TechnicianR&D EngineerQuick Contact:GlobalCompliancePanel USA Phone:800-447-9407webinarsglobalcompliancepanel.comhttp://www.globalcompliancepanel.comEvent Link - http://bit.ly/1ltrknK
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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