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Linear Regression in R for Public Health

Welcome to Linear Regression in R for Public Health!Public Health has been defined as “the art and science of preventing disease, prolonging life and promoti...
4.8
4.8/5
(367 reviews)
8,843 students
Created by

9.1

CourseMarks Score®

N/A

Freshness

8.8

Feedback

8.9

Content

Platform: Coursera
Video: 1h 18m
Language: English

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Detailed Analysis

CourseMarks Score®

9.1 / 10

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Freshness Score

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Student Feedback

8.8 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Content Score

8.9 / 10
Video Score: 7.7 / 10
The course includes 1h 18m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

33 articles.
0 resource.
0 exercise.
11 tests or quizzes.

Table of contents

Description

Welcome to Linear Regression in R for Public Health!

Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function.

Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ.
This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression.
You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.

You will learn

✓ Describe when a linear regression model is appropriate to use
✓ Read in and check a data set’s variables using the software R prior to undertaking a model analysis
✓ Fit a multiple linear regression model with interactions, check model assumptions and interpret the output

Requirements

Basic knowledge of Public Health is required to start this course, as this is an intermediate level course.

This course is for

This course was made for intermediate-level students.

How much does the Linear Regression in R for Public Health course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the Linear Regression in R for Public Health course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Alex Bottle a SCAM or a TRUSTED instructor?

Alex Bottle has created 6 courses that got 49 reviews which are generally positive. Alex Bottle has taught 36059 students and received a 4.86 average review out of 49 reviews. Depending on the information available, Alex Bottle is a TRUSTED instructor.
School of Public Health
Imperial College London
Prof. Alex Bottle is Professor in Medical Statistics and co-director of the Dr Foster Unit at Imperial. His research focuses on measuring and explaining variations in the quality and safety of healthcare using large databases. He teaches on a range of undergraduate and postgraduate degree courses and supervises and examines PhDs; his current students work in diverse areas such as surgery, cardiovascular risk and digital health. He also trains the UK public sector in statistical thinking.

9.1

CourseMarks Score®

N/A

Freshness

8.8

Feedback

8.9

Content

Platform: Coursera
Video: 1h 18m
Language: English

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