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 cou...@statcourse.com to obtain this
discount.