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Applied Logistic Regression is a Course

Applied Logistic Regression

Oct 7 - Dec 2, 2019


Full course description

Course Date:

Oct 7 - Dec 2, 2019


8 weeks


5 hrs/week


Use of statistical software

Course Type:





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.

Target Audience: Professionals in public health, medical, and related disciplines that utilize statistical modeling —and— graduate students.

Course is offered by The Ohio State University.

Course Instructors

Stanley Lemeshow

Stanley Lemeshow


Stan Lemeshow is an expert in biostatistics and epidemiology. He has published extensively in the applied and methodological literature and has co-authored three textbooks in the Wiley Series in Probability and Statistics. He has taught more than 100 short courses on biostatistical methods in the U.S. and abroad, including nine European countries, Australia, China, and India.

Sign up for this course today!