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中级

You'll need to have taken the Statistical Thinking and Linear Regression courses in this series or have equivalent knowledge.

完成时间大约为12 小时

英语(English)

字幕:英语(English)

您将学到的内容有

  • Describe a data set from scratch using descriptive statistics and simple graphical methods as a first step for advanced analysis using R software

  • Interpret the output from your analysis and appraise the role of chance and bias as potential explanations

  • Run multiple logistic regression analysis in R and interpret the output

  • Evaluate the model assumptions for multiple logistic regression in R

您将获得的技能

Logistic RegressionR Programming

可分享的证书

完成后获得证书

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

You'll need to have taken the Statistical Thinking and Linear Regression courses in this series or have equivalent knowledge.

完成时间大约为12 小时

英语(English)

字幕:英语(English)

提供方

伦敦帝国学院 徽标

伦敦帝国学院

立即开始攻读硕士学位

此 课程 隶属于 伦敦帝国学院 提供的 100% 在线 Global Master of Public Health。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 2 小时

Introduction to Logistic Regression

完成时间为 2 小时
3 个视频 (总计 12 分钟), 7 个阅读材料, 2 个测验
3 个视频
Introduction to Logistic Regression5分钟
Odds and Odds Ratios3分钟
7 个阅读材料
About Imperial College & the team5分钟
How to be successful in this course5分钟
Grading policy5分钟
Data set and Glossary10分钟
Additional Reading10分钟
Why does linear regression not work with binary outcomes?10分钟
Odds Ratios and Examples from the Literature10分钟
2 个练习
Logistic Regression10分钟
End of Week Quiz10分钟
2

2

完成时间为 3 小时

Logistic Regression in R

完成时间为 3 小时
2 个视频 (总计 11 分钟), 4 个阅读材料, 2 个测验
2 个视频
Logistic Regression in R5分钟
4 个阅读材料
How to Describe Data in R20分钟
Results of Cross Tabulation20分钟
Practice in R: Simple Logistic Regression15分钟
Feedback: Output and Interpretation from Simple Logistic Regression35分钟
2 个练习
Cross Tabulation30分钟
Interpreting Simple Logistic Regression30分钟
3

3

完成时间为 3 小时

Running Multiple Logistic Regression in R

完成时间为 3 小时
1 个视频 (总计 4 分钟), 6 个阅读材料, 1 个测验
6 个阅读材料
Describing your Data and Preparing to Run Multiple Logistic Regression35分钟
Practice in R: Describing Variables20分钟
Feedback20分钟
Practice in R: Running Multiple Logistic Regression15分钟
Feedback: Multiple Regression Model
Feedback on the Assessment10分钟
1 个练习
Running A New Logistic Regression Model30分钟
4

4

完成时间为 5 小时

Assessing Model Fit

完成时间为 5 小时
3 个视频 (总计 17 分钟), 10 个阅读材料, 3 个测验
3 个视频
Overfitting and Non-convergence6分钟
Summary of the Course3分钟
10 个阅读材料
Model Fit in Logistic Regression10分钟
How to Interpret Model Fit and Performance Information in R10分钟
Further Reading on Model Fit20分钟
Summary of Different Ways to Run Multiple Regression10分钟
Practice in R: Applying Backwards Elimination30分钟
Feedback: Backwards Elimination20分钟
Practice in R: Run a Model with Different Predictors30分钟
Feedback on the New Model10分钟
Further Reading on Model Selection Methods20分钟
R Code for the Whole Module20分钟
3 个练习
Quiz on R’s Default Output for the Model30分钟
Overfitting and Model Selection20分钟
End of Course Quiz

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关于 使用 R 进行公共健康领域的统计分析 专项课程

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....
使用 R 进行公共健康领域的统计分析

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