The A through Z of Error Free Research. http://statcourse.com/second.htm
A second course in statistics and research design. Four lessons in four
weeks plus an R quick-start module. Cost $294.
Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's fMRI's.
http://statcourse.com/multivar.htm 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. $294.
Meta-Analysis Using R. http://statcourse.com/meta.htm Three lessons in
three weeks. 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. $229 per participant.
Introduction to R. http://statcourse.com/intro2R.htm Three lessons in
three weeks. R has more functions than any other statistics language,
plus a world-wide user base. $185.
Clinical Trial Analysis Using R. http://statcourse.com/TrialR.htm Three
lessons in three weeks. Use R to analyze treatment comparison,
treatment comparison with covariates, cross-over designs, time-to-event
endpoints and longitudinal structures. $299 per participant. ($259 for
each additional person at the same firm, institution or government
office.)
Manager's Guide to Design and Conduct of Clinical Trials.
http://statcourse.com/ctrials.htm Four lessons in four weeks. Begins.
$295 per participant. ($250 for each additional person at the same
firm, institution or government office. $250 for those with an academic
or institutional email address.)
All courses begin December 16th 2011. Early Bird discount of $35 per
course if you register for any of the following courses before December
7th. .Students, faculty, and research workers at academic institutions
and the self-employed are eligible for a further $35 discount per
course. Write [log in to unmask] to obtain this discount.
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