Aug 15th 2016

Applied Logistic Regression (Canvas net)

This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable. This is a hands-on, applied course where students will become proficient at using computer software to analyze data drawn primarily from the fields of medicine, epidemiology, and public health.

*Access to Stata will be provided at no cost for the duration of this course.

This course was developed in partnership with the Centre Virchow-Villermé for Public Health Paris-Berlin, a bi-national centre of the Université Sorbonne Paris Cité and Charité – Universitätsmedizin Berlin. Special support was contributed from the Université Paris Descartes.

By the end of this course, students should:

- Master methods of statistical modeling when the response variable is binary.

- Be confident users of the Stata package for computing binary logistic regression models.