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For more information, see http://statcourse.com.
Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's. This
3-week course will show you how to analyze data with large numbers of
variables most effectively and introduce you to the software that can do
the job. Emphasis on the use of the bootstrap, decision trees,
multivariate regression, and permutation tests. April 9th 2010 to May
7th 2010. $304 Discount of $50 for students, faculty, and research
workers at academic and research institutions and government employees.
Write [log in to unmask] to obtain discounts. For more information,
see http://statcourse.com/multivar.htm
Manager's Guide to Design and Conduct of Clinical Trials. Four lessons
in four weeks. April 9th 2010 to May 7th 2010. $495 per participant.
($375 for each additional person at the same firm, institution or
government office. $375 for those with an academic or institutional
email address.) Plus further early bird discount of $50 if you register
before April 2nd 2010.For more information, see
http://statcourse.com/ctrials.htm.
Introduction to R. Three lessons in three weeks. April 9th 2010 to
April 30th 2010. R has more functions than any other statistics
language, plus a world-wide user base. $304 Discount of $50 for
students, faculty, and research workers at academic and research
institutions and government employees. Write [log in to unmask] to
obtain discounts. For more information, see
http://statcourse.com/intro2R.htm
Modeling with R. Three lessons in three weeks. April 9th to 30th 2010.
OLS, EIV, QR, and CART plus validation. $300. Early Bird (by 2nd April)
discount of $75. A further $50 discount for students, faculty, and
research workers at academic institutions. For more information, see
http://statcourse.com/mwithR.htm
Creating Effective Graphic Presentations. This 2-week course will show
you how to use Excel or R to create more effective graphic
presentations. April 9th 2010 to April 23rd 2010. $225. If you
register before April 2nd 2010, you need pay only $195. Government
employees, students, faculty and research workers at academic and
research institutions are eligible for a further discount of $35. For
more information, see http://statcourse.com/graphs.htm
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