Preface
StatSoft's CEO, Dr. Paul Lewicki, recently was invited to give a presentation at the 2011 Health Meeting of the Society
of Actuaries. During this presentation, he provided a conceptual overview of Text Mining Approaches and Applications.
The presentation was well received,and attendees left with a better understanding of Text Mining and the various applications that are available.
Here at StatSoft, we have been updating and expanding our web site. Take a few minutes to check out the new
Manufacturing Solution and the
Pharmaceutical Solution pages and let us know what you think.
Advanced Bionics European Clinical Research Department usesSTATISTICAto assess results of clinical studies

"
STATISTICA provides a powerful tool for our needs within our clinical research department. In particular,
the high quality and easily customizable graphs are universally praised in our poster presentations
and summary reports and communications delivered at international conferences. Additionally, we want to highlight the quality of
the relationship with StatSoft's French headquarters, and thank them for the support they provide to us,
" said Julie Bestel a Research Scientist at Advanced Bionics.
Read the full case study>>
Learning Statistics
We have added a new blogger to StatSoft.com. Her name is Angela Waner, and she has been a Project Manager at StatSoft since 2005.
Angela has worked on very diverse project types. Some projects were two weeks; some projects lasted almost 2 years.
Her
first blog discusses an internal project she led at StatSoft and the methods she used.
Spotlight Blog on Bob Amick
Bob Amick is a Service Manager for a major supplier and producer of polypropylene fiber.
He took a moment to discuss with us his use of
STATISTICAin their processes.
Tell us about your education and career.
- I have a Master of Science in Polymer Chemistry/Fiber & Polymer Science from North Carolina State University.
I work in the polypropylene fiber industry.
Read the full interview with Bob Amick>>
Predictive Analytics - Solve a Critical Quality Problem
<>Written by Rob Eames, VP of Sales at StatSoft, Inc.
Recently, my colleagues and I worked with a BioPharmaceutical Manufacturing company to apply predictive analytics methods
to solve a critical product quality problem. We were looking for root cause(s) of this complex problem.
The company manufactures vaccines under strict regulatory guidelines for sterile manufacturing and packaging environments.
The Problem: Specifically, in an important part of the process in which they manufacture one of the active ingredients for a vaccine,
they were scrapping about 30% of batches.
Conservatively, scrap at this level resulted in millions of dollars in opportunity cost (i.e., there was unmet demand for the vaccines),
lost time and resources since it takes several weeks for each batch to be manufactured, and materials expenditures.
The problem was complicated by the fact that the manufacturing process was complex with:
- a sequence of several interdependent steps
- many raw materials added to the process from different vendors and lots
- the process showed trends across subsequent batches
See how they tried to solve the problem>>
How to Interpret Statistical Analysis Results
Statistical tests examine a variety of relationships in data, but they share some common elements.
Typically, statistical tests state a null and alternative hypothesis, calculate a test statistic,
and report an associated p-value, and then the analyst makes a conclusion from the tests.
This process is followed for simple tests as well as complex ones. Once you achieve a basic understanding
of the process of statistical hypothesis testing, the concepts can be generalized to all tests.
Read the full example>>