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.
This course is part of the Biostatistics in Public Health Specialization
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About this Course
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Try Coursera for BusinessWhat you will learn
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
Skills you will gain
- P-Value
- Proportional Hazards Model
- Confounding
- regression
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Simple Regression Methods
Simple Logistic Regression
Simple Cox Proportional Hazards Regression
Confounding, Adjustment, and Effect Modification
Course Project
Reviews
- 5 stars76.85%
- 4 stars19.28%
- 3 stars2.37%
- 2 stars1.18%
- 1 star0.29%
TOP REVIEWS FROM SIMPLE REGRESSION ANALYSIS IN PUBLIC HEALTH
I really enjoyed learning this course. Very informative. Thanks a lot.
Another exceptional class by Dr. John McGready. Clear and concise with many real-world research reviews that make challenging subjects such as logistic regression much more easy to understand.
I would like to thank the instructor. Sir, you have explained everything so well and clearly step by step. It has been very helpful
I would consider this an intuitive introduction to linear regression as a powerful statistical tool. The use of data from real studies is also a nice touch.
About the Biostatistics in Public Health Specialization

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