Using Statistical Methods for Effective Outlier Detection

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Using Statistical Methods for Effective Outlier Detection - Webinar by GlobalCompliancePanel

Website http://bit.ly/1erjJgu | Edit Freely

Category Webinar, Health, Medical, Pharma, Clinical

Deadline: September 11, 2013 | Date: September 11, 2013

Venue/Country: USA, U.S.A

Updated: 2013-08-12 15:47:04 (GMT+9)

Call For Papers - CFP

Overview: Statistical outlier detection has become a popular topic as a result of the US Food and Drug Administration's out of specification (OOS) guidance and increasing emphasis on the OOS procedures of pharmaceutical companies.

When a test fails to meet its specifications, the initial response is to conduct a laboratory investigation to seek an assignable cause. As part of that investigation, an analyst looks for an observation in the data that could be classified as an outlier.

Areas Covered in the Session:

What is an outlier?

How to label an outlier

Extreme Studentized Deviate Test

Dixon Test

Graphical methods to determine outliers

Who Will Benefit:

Management

Research and Development

Regulatory Affairs personnel

Quality assurance/quality control personnel

Auditors and inspectors

Mr. Steven Walfish is the President of Statistical Outsourcing Services, a consulting company that provides statistical analysis and training to FDA regulated industries. Prior to starting Statistical Outsourcing Services, Mr. Walfish was the Senior Manager Biostatistics, Non-clinical at Human Genome Sciences in Rockville MD.

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Event Link - http://bit.ly/1erjJgu

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