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返回到 Logistic Regression in R for Public Health

学生对 伦敦帝国学院 提供的 Logistic Regression in R for Public Health 的评价和反馈

4.7
52 个评分
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8 个审阅

课程概述

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!...

热门审阅

DS

Sep 28, 2019

This one is better compared with the one about linear regression regarding the quizzes, which are designed better to test your knowledge

MA

Apr 01, 2019

This is one of the best courses. Dr. Alex is amazing and delivers the content quite well.

筛选依据：

1 - Logistic Regression in R for Public Health 的 9 个评论（共 9 个）

创建者 ji t

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Apr 05, 2019

very good course!! highly recommend!! Although I am not major in public health, I learned a lot about logistic regression and basic ideas for data science

创建者 Moses C B A

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Apr 01, 2019

This is one of the best courses. Dr. Alex is amazing and delivers the content quite well.

创建者 Vivekananda D

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Jun 19, 2019

Excellent course! Highly recommended for people who want an introduction to Logistic Regression. I hope the instructor offers another version of the course with little more advanced material (for example, ordinal and multinomial logit models).

创建者 Shova P

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Jul 15, 2019

Course is very easy to follow

创建者 Ning D

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Jul 27, 2019

very recommendable course

创建者 Tommys J G G

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Sep 10, 2019

Excellent and very complete course on R. Specially for those working in public health and with an interest in understanding models of clinical trials, etc.

创建者 Donghan S

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Sep 28, 2019

This one is better compared with the one about linear regression regarding the quizzes, which are designed better to test your knowledge

创建者 Sergio P

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Oct 18, 2019

Amazing course. I'm looking forward to the survival analysis course. Week 3 is specially good. I'm sure you'll have fun.

创建者 Ahmed M Y O

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Sep 12, 2019

would have helped if there were even a glance about logistic with multiple outcomes

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