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Regression Models as a Tool in Medical Research

The participants should become familiar with the basic concepts and techniques in using regression models in medical research in order to perform analyses of their own data, and to interpret, communicate and publish the results. They should also understand the basic potentials and limitations in using regression models and get some inspiration for a more effective and understandable use of regression models. All topics will be illustrated by examples from various fields of medical research like prognostic studies, epidemiological risk factor studies, experimental studies, diagnostic studies and observational studies.
Practical exercises will be based on Stata. A one year license of Stata 12 is included in the registration fee. Stata is available for Windows, Unix and Mac. For further details visit the Stata home page. Participants unfamiliar with Stata will get a short introduction prior to the course.

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Medizin | Research Methodology
Primrose Beryl, PhD., Prof. Dr. Werner Vach
Web based distance learning course
International School of Quantitative Research, University of Freiburg
Postgraduate students and young researchers from the health sciences and related fields who want to work with regression models in th eir own research or wish to understand regression model based analyses found in the literature
Only some basic knowledge of statistical terms like mean, p-value and confidence interval is required. Internet access is required.
Self-study including reading and practical exercises, discussion with other participants and teaching staff
February 2013
16 weeks
Certificate
8 CP nach ECTS
online course
400 - 1.000 Euro ( depending on need of a Stata licence and type of organization). A few stipends are available, please contact the team


International School of Quantitative Research
Clinical Epidemiology
Institute of Medical Biometry and Medical Informatics
University of Freiburg

Stefan-Meier-Straße 26, 79104 Freiburg, Germany
Per Berg and Monika Richards
Tel: 0761/203-6721
info@isqr.uni-freiburg.de
www.isqr.uni-freiburg.de/reginmed2013.html

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