Course Link: https://www.coursera.org/learn/simple-regression-analysis-public-health

Simple Regression Analysis in Public Health

This course provides an introduction to regression in public health and health policy. The course will use linear regression as a model for exploratory data analysis and statistical reasoning.

Learning Outcomes

Upon completion of the course, you will be able to:

1. Describe the process of using regression in public health and health policy

2. Design a regression model for exploratory data analysis

3. Specify the level of significance of your regression model

4. Calculate mean differences using linear regression

5. Interpret regression coefficients

6. Compute means and variances using regression

7. Model a continuous variable

In this course, you will have a very brief introduction to regression and the basic assumptions underlying it. Then we will dive into regression models, linear regression, and the weights and regression discontinuous variable models. We will use linear regression to examine the relationship between variables with a continuous variable and a binary outcome such as using or not using a therapy. We will use regression models to examine the relationship between a continuous variable and a binary outcome such as taking a pill or not taking a pill. We will use regression discontinuity models to examine the relationship between a continuous variable and a binary outcome such as taking multiple pills. We will also use regression discontinuity models to examine the relationship between a continuous variable and a binary outcome such as using multiple pills.

The course is primarily designed for practitioners or students who are interested in basic statistics and regression, but anyone with some mathematical or computer science background should be able to follow the lecture and understand the concepts.

Suggested Readings

The course is designed primarily for people who are interested in basic statistics and regression, but anyone with some mathematical or computer science background should be able to follow the lecture and understand the concepts. In particular, those who want to apply the statistical concepts gained in this course to their own work should complete the Quickstart for this course on how to use regression models. In particular, those who want to apply regression to a large number of variables, be it positive or negative, should complete the remainder of the course expanding their knowledge of regression and then dive into the more in-depth course later in the specialization.

Course Overview video: https://youtu.be/g-oaUoU9wO9uU

Course logo: https://www.flickr.com/photos/publicschools/3468922981/in/set-7215766202599369161240969930918_98626151680378539648_n.jpg

Course cover image by John Carl Dreyer: https://www.flickr.com/photos/publicschools/3468922981/in/set-72157662025993691612409630918_98626151680378539648_o.jpg

Course cover image by John

Course Link: https://www.coursera.org/learn/simple-regression-analysis-public-health