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2-day In-person Seminar on “Statistics for the Non-Statistician” at Los Angeles

Event Details

2-day In-person Seminar on “Statistics for the Non-Statistician” at Los Angeles

Time: July 18, 2013 at 9am to July 19, 2013 at 6pm
Location: DoubleTree by Hilton Hotel Los Angeles Downtown
Street: 120 South Los Angeles Street
City/Town: Los Angeles
Website or Map: http://bit.ly/YIKnZu
Phone: 800-447-9407
Event Type: conference
Organized By: John Robinson
Latest Activity: May 30, 2013

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Event Description

Overview:
Statistical tools and techniques are very commonly used to help measure and improve the quality of a firm's process and product. If statistical analysis is not properly performed and/or understood, a firm can run the risk of distributing the kind of product to the market that ultimately fails, resulting in lost time and money. And of course, with statistics, practice makes perfect. During this two-day HIGHLY interactive training program, participants will be given the opportunity to apply statistics learned to real-world example data sets! The program begins by providing a basic overview of the most common statistical tools and terms. The course covers the use of statistical software packages and the role of software in statistical analysis and statistical process control. Areas addressed include how to use statistics to properly trend data, support the annual product review, justify process changes and set product specifications. By the end of day two, course participants will have acquired the skills necessary to design a statistically sound sampling plan that helps them comply with FDA APR requirements. Throughout the duration of this intimate, hands-on course, participants will be able to interact with both an expert instructor and their peers.
Why you should attend:
This course will help you to use statistics correctly and minimize compliance risk.

Course Description:

Day 1 – Agenda
Lecture 1: Introduction and Basic Overview of Common Statistical Tools
Lecture 2: Apply Statistics to Specification Setting
Lecture 3: Regression analysis and variance components
Lecture 4: Implement Design of Experiments (DOE)

Day 2 – Agenda
Lecture 5: Validate your Testing Methods using Statistics
Lecture 6: Trending Analysis
Lecture 7: Design a Statistically Sound Sampling Plan
Lecture 8: Statistically Analyze Annual Product Review (APR) Data

Who Will Benefit:
This course is developed to provide valuable assistance to all regulated companies that need to understand their processes including companies:
• Medical Device
• Diagnostic
• Supervisors
• Pharmaceutical
• Biologics fields
The employees who will benefit include:
• Development Scientists
• Analytical Method Development
• QA/ QC personnel

About Speaker:
Mr. Steven Walfish brings is the founder and President of Statistical Outsourcing Services. He brings nearly 20 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.

DATE, VENUE & PRICE:
Location: Los Angeles, CA | July 18th & 19th, 2013 | 9 AM to 6 PM PDT
Venue: DoubleTree by Hilton Hotel Los Angeles Downtown
120 South Los Angeles Street, Los Angeles, California, 90012, US
Price: $1,295.00
Register now and save $200. (Early Bird)
Until May 31, Early Bird Price: $1,295.00
From June 01 to July 16, Regular Price: $1,495.00

Contact Information:

Event Coordinator
Toll free: 1800 447 9407
Fax: 302 288 6884
Email: support@globalcompliancepanel.com
Website: https://www.globalcompliancepanel.com
LIVE CHAT SUPPORT ALSO - http://www.globalcompliancepanel.com/chat/client.php
GlobalCompliancePanel
NetZealous LLC
161 Mission Falls Lane, Suite 216, Fremont, CA 94539, USA
For More Info Click Here: http://bit.ly/YIKnZu

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