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ALLSTAT  June 2010

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Subject:

Analyzing Large Data Sets, Sample Size Determination. Early Bird Discounts End June 19th

From:

Dorothy Middleton <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Mon, 14 Jun 2010 08:50:44 -0700

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (43 lines)

Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's.  This
4-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.  July 9th 2010 to Aug
6th 2010. $404 (includes textbook).   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

Sample Size Determination  Three lessons in three weeks.  July 9th to
July 30th 2010.  Cost $299.  Early Bird discount of $25 before July 1st
2010.  Students, faculty and research workers at academic institutions
are eligible for a further $50 discount.   Write [log in to unmask] 
to obtain discounts. For more information, see
http://statcourse.com.ssize.htm.

Manager's Guide to Design and Conduct of Clinical Trials.  Four lessons
in four weeks. July 30th 2010 to August 27th 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 4th 2010.For more information, see
http://statcourse.com/ctrials.htm.

Modeling with R.  Three lessons in three weeks. July 9th to 31st 2010. 
OLS, EIV, QR, and cTree plus validation. $300. Early Bird (by 2th 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

Interact with our experts. Participate from office or home at your
leisure. Ask questions, discuss difficulties, and make comments 24/7 via
the on-line discussion board. For more information, see
http://statcourse.com.   For more information, see
http://statcourse.com.

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