Early Bird discount of $35 per course if you register for any of the
following courses before 30 September. Students, faculty, and research
workers at academic institutions and the self-employed are eligible for
a further $50 discount per course. Write [log in to unmask] to
obtain this discount.
For anyone about to make the transition from slavish student to
independent researcher. The A through Z of Error Free Research. Four
lessons in four weeks. Begins October 7th 2011. Cost $354. For more
information, see http://statcourse.com/second.htm
Sample Size Determination Three lessons in three weeks. Begins
October 7th 2011. Cost $295. For more information, see
http://statcourse.com.ssize.htm.
Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's fMRI's.
This four-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, and permutation tests. Begins October 7th 2011. $394. For more
information, see http://statcourse.com/mvar.htm
Meta-Analysis Using R. Three lessons in three weeks. Begins October 7th
2011. Combine data from multiple studies. Fixed- effects and
random-effects meta-analysis models. Identifying publication bias. R
packages "rmeta" and "meta" will be introduced for the step-by-step
implementation with "forest" and "funnel" plots. $295 per participant.
For more information, see http://statcourse.com/meta.htm
How would you test for a correlation greater than 0.8? What's a
confidence interval for the 40th percentile? Take Applications of
Bootstrap, CART and Permutation Methods Begins October 14th 2011. Cost
$324. For more information, see http://statcourse.com/application.htm
Learn Statistics Through Applications. An easy introduction to the
basic concepts of statistics. Tailored to your needs. Instructor will
walk you through an analysis of data you provide. Three lessons in three
weeks. Begins October 7th 2011. $229. "It's like having a private
tutor," writes one student. For more information, see
http://statcourse.com/intro01.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.
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