# Simple Regression Analysis in Public Health (Coursera)

##### Start Date
Sep 23rd 2024
Course Auditing
Categories
Effort
Certification
41.00 EUR/month
Languages
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Misc

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Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation.

Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
What You Will Learn

- Practice simple regression methods to determine relationships between an outcome and a predictor

- Recognize confounding in statistical analysis

Course 3 of 4 in the Biostatistics in Public Health Specialization.

### Syllabus

WEEK 1

Simple Regression Methods

Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.

Simple Logistic Regression

Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.

WEEK 2

Simple Cox Proportional Hazards Regression

Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.

WEEK 3