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Zurich School for Continuing Education

Transformation Analysis in R

Sep 26—27, 2019
2 days
Zürich, Switzerland
CHF 1200 ≈USD 1231
CHF 600 per day

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Transformation models describe conditional distributions in a simple yet powerful and extensible way. This class of models relies on a parametric family of distributions characterised by their transformation function. Well-known classics, such as the normal linear regression models, binary and polytomous logistic regression, or Weibull and Cox regression models can all be understood as special transformation models. This course highlights the connections between these models in very simple terms. Furthermore, a general form of the likelihood allowing arbitrary forms of random censoring and truncation will be introduced. Finally, model estimation using the R add-on packages mlt and tram will be illustrated by regression models for binary, ordered, continuous, and potentially censored response variables.

Who should attend

Novice and advanced R users from all professional groups.


Torsten Hothorn is Professor of Biostatistics ad personam at the Epidemiology, Biostatistics and Prevention Institute of the University of Zurich. He received a Diploma in Statistics from the University of Dortmund in 2000 and a Dr. rerum naturalium in 2003 from the same university. From 2000 to...