Save for later

Logistic Regression in R for Public Health

Statistical Analysis with R for Public Health,

Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. By the end of this course, you will be able to: Explain when it is valid to use logistic regression Define odds and odds ratios Run simple and multiple logistic regression analysis in R and interpret the output Evaluate the model assumptions for multiple logistic regression in R Describe and compare some common ways to choose a multiple regression model This course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. We hope you enjoy the course!

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
Rating 4.8 based on 18 ratings
Length 5 weeks
Effort 3-5 hours/week
Starts Jul 3 (34 weeks ago)
Cost $49
From Imperial College London via Coursera
Instructor Alex Bottle
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

Get a Reminder

Send to:

Similar Courses

What people are saying

instructor offers another version

I hope the instructor offers another version of the course with little more advanced material (for example, ordinal and multinomial logit models).

nearly everything was still

The course is created with a particular nod to public health, but nearly everything was still relevant to my own research in health psychology.

mathematical background too much

It explains things well without getting stuck in the mathematical background too much.

little more advanced material

things well without getting

biology phd student

That is important for me as a Biology PhD student.

need simple statements

Thoroughly recommended for medical professionals who are not highly skilled in mathematical analysis and need simple statements and exercises to understand the basic concepts.

quality control team

However, there were some typographical errors, which I believe will be corrected by a quality control team.

some typographical errors

dr. alex

Dr. Alex is amazing and delivers the content quite well.

needs decent

Good for those with solid understanding of basic statistics but looking to implement logistic regression in analysis using R. Needs decent understanding of R. It takes you through the basics of logistic regression.

best courses

Although I am not major in public health, I learned a lot about logistic regression and basic ideas for data science This is one of the best courses.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Logistic Coordinator / Merchandising $40k

Logistic and Distribution $44k

Federal - Regression Tester $55k

Junior Logistic Specialist $56k

REGRESSION TESTER $61k

Materials & Logistic Specialist $62k

LOGISTIC ADMINISTRATOR $65k

Regression Analyst $69k

Logistic Planner $74k

Logistic Engineer 2 $85k

Senior Functional and Regression QA Analyst $92k

Material logistic analyst $92k

Write a review

Your opinion matters. Tell us what you think.

Rating 4.8 based on 18 ratings
Length 5 weeks
Effort 3-5 hours/week
Starts Jul 3 (34 weeks ago)
Cost $49
From Imperial College London via Coursera
Instructor Alex Bottle
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now