Drs. Brian Everitt and Torsten Hothorn will present their online course
"Modeling in R" at statistics.com Jan. 19 - Feb. 16. Participants
can ask
questions and exchange comments with Drs. Everitt and Hothorn via a private
discussion board throughout the period.
In this course you learn how to use R to build statistical models and use
them to analyze data. Multiple regression is covered first, then logistic
regression and the generalized linear model (multiple regression and
logistic regression illustrated as special cases). The Poisson model for
count data, and the concept of overdispersion are also covered. You learn
how to analyze longitudinal data using straightforward graphics and simple
inferential approaches, then mixed-effects models and the generalized
estimating approach for such data. The course emphasizes how to fit the
models listed and interpret results, rather than how to derive the
theoretical background of the models.
Brian Everitt and Torsten Hothorn are the authors of "A Handbook of
Statistical Analyses Using R." Brian Everitt is Professor Emeritus,
King's
College, London, and author of more than 50 books on statistics, including
"Applied Multivariate Analysis" and "Statistical Aspects of the
Design and
Analysis of Clinical Trials." Torsten Hothorn is Lecturer of Statistics at
the Institut fur Medizininformatik, Biometrie und Epidemiologie,
Friedrich-Alexander-Universitat, Erlangen-Nurnberg, Germany, and the author
of over 4 dozen scholarly papers in peer-reviewed journals and other
publications.
Details/prerequisites:
http://www.statistics.com/courses/modelingr/
The course takes place online at statistics.com in a series of 4 weekly
lessons and assignments, and requires about 7-15 hours/week. Participate at
your own convenience; there are no set times when you are required to be
online.
Peter Bruce
pbruce at statistics.com
