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Cost Effective – Time Effective –
In your Conference Room or Office
Avoiding
Statistical Pitfalls during Method Validation
Conducted by Steven Walfish
President, Statistical Outsourcing Services
June 13, 2008
Would you like to know more
about how to best analyze your data fro method validation?
Come learn how to avoid the
Statistical Pitfalls!
This web seminar will
present the basics of ICH Q2R(1) (International Conference on Harmonization
– Validation of Analytical Procedures), utilization of statistics to reduce
total testing, and interpretation of results. The session will explain why
using a sound statistical design can reduce total testing time, increase
accuracy of results, and enhance your validation package.
Steven L. Walfish, a well-known consultant in statistical methods for
biotech, pharmaceutical and medical device companies, will conduct this
seminar. He is a member of the Editorial Advisory Committee for Biopharm
magazine, and has presented at numerous conferences on validation.
Specific areas that will
be covered include:
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Requirements of ICH Q2R(1)
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Method Specificity
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Linearity and Range of the Method
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Accuracy and Precision
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Regression Analysis
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Variance Components
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Detection and Quantification Limits
Lasting just one hour,
you will be able to follow along on this web seminar with a PowerPoint
presentation constructed specifically for this seminar. You will be able to
submit oral or email questions to Mr. Walfish during and after the formal
presentation.
By the end of the hour, you should have a better understanding
of the ICH Q2R(1) standard and common statistical methods used to ensure a
complete method validation. A detailed outline follows and Mr. Walfish's
qualifications are below.
Avoiding
Statistical Pitfalls during Method Validation
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Part I
Basic Review of
Q2R(1)
- Definitions
- Minimum
Requirements
- Other
guidance documents
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Part III
The Effect of
Sample Size on the Analysis
- Learn
how to calculate the sample size for method validation
- Learn
why a large sample is just as bad as a small sample size
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Comparing functional requirements to statistical requirements
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Part II
Selecting the
Correct Statistical Method
- Learn the
difference between a t-test and ANOVA
- Understand
how to do Regression Analysis correctly
- Learn when
to use a confidence interval and when to use a tolerance
interval
- Interpret
variance components used in precision analysis
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Part IV Questions and Answers
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Register now!
Don’t like to order online?
Call us at 714-289-1233
All registrations include handout materials. Once you’re registered, you will
receive via e-mail (the e-mail address you provide in your registration) the web location to download the handout materials.
We accept Visa, MasterCard, and
American Express (AMEX). All prices are in US
dollars.
Note International shipments: If ordering the CD for shipment,
additional shipping charges will be added for all international shipments.
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Get the CD and handout
GMP080613E - CD and
Handout materials
Avoiding Statistical Pitfalls during Method Validation
CD price includes all HANDOUT MATERIALS and audio
CD. CD will be shipped three weeks after the seminar |
$397.00 |
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Instructor
Steven Walfish - MS, MBA, President,
Statistical Outsourcing Services
Mr. Steven Walfish brings two decades of industrial
experience providing statistical solutions to complex business problems. Mr. Walfish was Senior Manager Biostatistics, Nonclinical at Human Genome
Sciences in Rockville MD. Human Genome Sciences (HGS) is a biopharmaceutical
company specializing in the discovery and development of protein and
antibody therapies for unmet medical needs. Mr. Walfish provides statistical
methods for data collection, analysis and reporting. 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.
Please forward this to your colleagues who may be
interested.
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