About The Course
Focusing on linear and multiple regression, this course will provide theoretical and practical training in statistical modeling.
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.
There will be many practical examples and homework exercises in this class to help you learn. If you fully apply yourself in this course and complete all of the homework, you will have the opportunity to master methods of statistical modeling when the response variable is continuous and you will become a confident user of the Stata* package for computing linear, polynomial and multiple regression.
*Access to Stata will be provided at no cost for the duration of this course.
Frequently Asked Questions
This course was developed in partnership with Université Paris Descartes, Sorbonne Paris Cité and Charité – Universitätsmedizin Berlin – collectively under the umbrella of the Centre Virchow-Villermé for Public Health.
Students interested in this course should have taken a solid introductory statistical methods course. While not absolutely necessary, familiarity with some statistical software package (such as SPSS, SAS or R) would definitely be an advantage.
We will be making exclusive use of Stata for the course lectures and homework solutions. However, students who are proficient in other packages could use those packages in place of Stata.
Based on past experience we strongly encourage students to use Stata for this course as it will facilitate communications with the professor, the teaching assistants, as well as other students in the course.