Biopharmaceutical
Web-Based Training Program
Convenient, Successful
mani Lakshminarayanan of merck, venkat sethuraman of Novartis, and rick Peterson of the AsA
500 to 1,000 people have participated in
w
eb-based training has become option of joining the Biopharmaceutical
a standard teaching tool for
each webinar, many attending with other Section for $8 and receiving the section
the Biopharmaceutical
participants in a large conference room in member rate. The registration fee for
Section. The section and ASA Center
order to share a single registration fee. The non-ASA members is $74.
for Statistics Education launched the
majority of participants logged on from For more information about the
program in March of 2007 to provide
the United States, but other countries web-based training program, visit www.
an alternative to live training courses. As
were represented.
amstat.org/sections/sbiop/webinarseries.
the cost of travel and hotels has increased,
Based on feedback received by the html. Additional materials and interactive
web-based communication has emerged
organizers, the low cost of each webinar options are available at www.biopharmnet.
as a low-cost way to deliver training.
is one of the most attractive features of com/doc/doc03002.html.
Also, web-based training allows mem-
the program. The Biopharmaceutical The section is currently working on
bers to participate who cannot take the
Section subsidizes the program to pro- the 2010 program and encourages read-
time to travel.
vide its members with the lowest pos- ers to share their suggestions for future
Webinars offered this year have
sible rate. The registration fee for sec- webinars by emailing ASA Education
included the following:
tion members is $44. The fee for other Programs Associate Rick Peterson at
ASA members is $59, but they have the
rick@amstat.org. n
Classical Sample-Size Analysis
for Hypothesis Testing (Part
I and Part II), presented
by Ralph O’Brien of Case
Western Reserve University
Microarray Data Analysis, pre-
sented by Dhammika Amaratunga
of Johnson & Johnson and Javier
Cabrera of Rutgers University
Design and Analysis of
Count Data, presented by
Mani Lakshminarayanan
of Merck & Co, Inc.
Large-Scale Significance Testing
of Genomic Data, presented by
John Storey of Princeton University
Introduction to Hierarchical
Bayes Methods for Data Analysis,
presented by Brad Carlin of
the University of Minnesota
The program has attracted a broad
audience of industry statisticians, aca-
demic researchers, government statisti-
cians, and graduate students, with both
attendees and presenters indicating the
webinars are convenient. Approximately
NOVEMBER 2009 AmstAt News 37
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