How Far is too Far? Statistical Outlier Detection

Instructor: Steven Walfish
Product ID: 700207
Training Level: Intermediate
  • Duration: 60 Min

recorded version

1x Person - Unlimited viewing for 6 Months
(For multiple locations contact Customer Care)
Recorded Link and Ref. material will be available in My CO Section

Training CD

One CD is for usage in one location only.
(For multiple locations contact Customer Care)
CD and Ref. material will be shipped within 15 business days

Customer Care

Fax: +1-650-565-8542


Read Frequently Asked Questions

This Statistical training presents techniques that are accepted in industry while maintaining statistical rigor.

Statistical outlier detection has become popular due to out of specification (OOS) procedures. When a test fails to meet its specifications, the initial response is to look for an observation in the data that could be classified as an outlier.

Areas Covered in the Seminar:

  • What is an Outlier, and Why are they Important?
    Boxplots, Trimmed Means, Confidence Intervals
  • Outlier Identification
    Extreme Studentized Deviate Test, Dixon Test
  • Regression
    Influential Observations, Effect on parameters, residual analysis
  • Comparing the Methods
  • Case Study

Who Will Benefit:

This web seminar will provide valuable assistance to all regulated companies that need to validate their systems, including companies in the Medical Device, Diagnostic, Pharmaceutical, and Biologics fields. The employees who will benefit include:

  • QA managers and personnel
  • Validation specialists
  • Quality system auditors
  • Consultants

Instructor Profile:

Mr. Steven Walfish, is the founder and President of Statistical Outsourcing Services. He brings over 17 years of industrial experience providing statistical solutions to complex business problems. Mr. Walfish was Senior Manager Biostatistics, Nonclinical at Human Genome Sciences in Rockville MD. Mr. Walfish has held positions with PricewaterhouseCoopers, Chiron Diagnostics and Johnson & Johnson. Mr. Walfish holds a Bachelors of Arts in Statistics from the University of Buffalo, Masters of Science in Statistics from Rutgers University and an Executive MBA from Boston University.

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