課程信息
4.7
19 個評分
2 個審閱

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

You should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

完成時間大約為9 小時

建議:4 weeks of study 3-5 hours per week ...

英語(English)

字幕:英語(English)

您將學到的內容有

  • Check

    Describe when a linear regression model is appropriate to use

  • Check

    Read in and check a data set's variables using the software R prior to undertaking a model analysis

  • Check

    Fit a multiple linear regression model with interactions, check model assumptions and interpret the output

您將獲得的技能

Correlation And DependenceLinear RegressionR Programming

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

You should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

完成時間大約為9 小時

建議:4 weeks of study 3-5 hours per week ...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 5 小時

INTRODUCTION TO LINEAR REGRESSION

Before jumping ahead to run a regression model, you need to understand a related concept: correlation. This week you’ll learn what it means and how to generate Pearson’s and Spearman’s correlation coefficients in R to assess the strength of the association between a risk factor or predictor and the patient outcome. Then you’ll be introduced to linear regression and the concept of model assumptions, a key idea underpinning so much of statistical analysis....
7 個視頻 (總計 34 分鐘), 9 個閱讀材料, 5 個測驗
7 個視頻
Pearson’s Correlation Part I3分鐘
Pearson’s Correlation Part II6分鐘
Intro to Linear Regression: Part I4分鐘
Intro to Linear Regression: Part II3分鐘
Linear Regression and Model Assumptions: Part I6分鐘
Linear Regression and Model Assumptions: Part II5分鐘
9 個閱讀材料
About Imperial College London & the Team10分鐘
How to be successful in this course10分鐘
Grading policy10分鐘
Data set and Glossary10分鐘
Additional Reading10分鐘
Reading: Linear Regression Models: Behind the Headlines5分鐘
Linear Regression Models: Behind the Headlines: Written Summary20分鐘
Warnings and precautions for Pearson's correlation20分鐘
Introduction to Spearman correlation15分鐘
5 個練習
Linear Regression Models: Behind the Headlines10分鐘
Correlations30分鐘
Spearman Correlation20分鐘
Practice Quiz on Linear Regression20分鐘
End of Week Quiz20分鐘
2
完成時間為 4 小時

Linear Regression in R

You’ll be introduced to the COPD data set that you’ll use throughout the course and will run basic descriptive analyses. You’ll also practise running correlations in R. Next, you’ll see how to run a linear regression model, firstly with one and then with several predictors, and examine whether model assumptions hold....
3 個視頻 (總計 11 分鐘), 8 個閱讀材料, 2 個測驗
3 個視頻
Fitting the linear regression3分鐘
Multiple Regression4分鐘
8 個閱讀材料
Recap on installing R10分鐘
Assessing distributions and calculating the correlation coefficient in R 10分鐘
Feedback10分鐘
How to fit a regression model in R10分鐘
Feedback15分鐘
Fitting the Multiple Regression in R30分鐘
Feedback10分鐘
Summarising correlation and linear regression30分鐘
2 個練習
Linear Regression20分鐘
End of Week Quiz20分鐘
3
完成時間為 4 小時

Multiple Regression and Interaction

Now you’ll see how to extend the linear regression model to include binary and categorical variables as predictors and learn how to check the correlation between predictors. Then you’ll see how predictors can interact with each other and how to incorporate the necessary interaction terms into the model and interpret them. Different kinds of interactions exist and can be challenging to interpret, so we will take it slowly with worked examples and opportunities to practise....
4 個視頻 (總計 17 分鐘), 9 個閱讀材料, 2 個測驗
4 個視頻
Introduction to Key Dataset Features: Part II2分鐘
Interactions between binary variables4分鐘
Interactions between binary and continuous variables5分鐘
9 個閱讀材料
How to assess key features of a dataset in R20分鐘
How to check your data in R10分鐘
Good Practice Steps20分鐘
Practice with R: Run a Good Practice Analysis30分鐘
Practice with R: Run Multiple Regression30分鐘
Feedback10分鐘
Practice with R: Running and interpreting a multiple regression30分鐘
Feedback15分鐘
Additional Reading10分鐘
2 個練習
Fitting and interpreting model results20分鐘
Interpretation of interactions20分鐘
4
完成時間為 3 小時

MODEL BUILDING

The last part of the course looks at how to build a regression model when you have a choice of what predictors to include in it. It describes commonly used automated procedures for model building and shows you why they are so problematic. Lastly, you’ll have the chance to fit some models using a more defensible and robust approach....
5 個視頻 (總計 16 分鐘), 7 個閱讀材料, 2 個測驗
5 個視頻
Variable Selection3分鐘
Developing a Model Building Strategy6分鐘
Summary of developing a Model Building Strategy56
Summary of Course1分鐘
7 個閱讀材料
Feedback10分鐘
Further details of limitations of stepwise10分鐘
How many predictors can I include?10分鐘
Practice with R: Developing your model
Practice with R: Fitting the final model10分鐘
Feedback on developing the model10分鐘
Final R Code20分鐘
2 個練習
Problems with automated approaches20分鐘
End of Course Quiz20分鐘

講師

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health
Avatar

Victoria Cornelius

Senior Lecturer in Medical Statistics and Clinical Trials

立即開始攻讀碩士學位

此 課程 隸屬於 伦敦帝国学院 提供的 100% 在線 Global Master of Public Health。如果您被錄取參加全部課程,您的課程將計入您的學位學習進程。

關於 伦敦帝国学院

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology....

關於 Statistical Analysis with R for Public Health 專項課程

Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around. This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019. The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data....
Statistical Analysis with R for Public Health

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心