このコースについて
8,042 最近の表示

学位の取得を目指しましょう。

Global Master of Public Health 学位からの講義、コース指定教材、自習用の課題をお試しください

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

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

約9時間で修了

推奨:3-5 hours/week...

英語

字幕:英語

学習内容

  • Check

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

  • Check

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

  • Check

    Run multiple logistic regression analysis in R and interpret the output

  • Check

    Evaluate the model assumptions for multiple logistic regression in R

習得するスキル

Logistic RegressionR Programming

学位の取得を目指しましょう。

Global Master of Public Health 学位からの講義、コース指定教材、自習用の課題をお試しください

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

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

約9時間で修了

推奨:3-5 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
2時間で修了

Introduction to Logistic Regression

Welcome to Statistics for Public Health: Logistic Regression for Public Health! In this week, you will be introduced to logistic regression and its uses in public health. We will focus on why linear regression does not work with binary outcomes and on odds and odds ratios, and you will finish the week by practising your new skills. By the end of this week, you will be able to explain when it is valid to use logistic regression, and define odds and odds ratios. Good luck!...
3件のビデオ (合計12分), 7 readings, 2 quizzes
3件のビデオ
Introduction to Logistic Regression5 分
Odds and Odds Ratios3 分
7件の学習用教材
About Imperial College & the team5 分
How to be successful in this course5 分
Grading policy5 分
Data set and Glossary10 分
Additional Reading10 分
Why does linear regression not work with binary outcomes?10 分
Odds Ratios and Examples from the Literature10 分
2の練習問題
Logistic Regression10 分
End of Week Quiz10 分
2
3時間で修了

Logistic Regression in R

In this week, you will learn how to prepare data for logistic regression, how to describe data in R, how to run a simple logistic regression model in R, and how to interpret the output. You will also have the opportunity to practise your new skills. By the end of this week, you will be able to run simple logistic regression analysis in R and interpret the output. Good luck! ...
2件のビデオ (合計11分), 4 readings, 2 quizzes
2件のビデオ
Logistic Regression in R5 分
4件の学習用教材
How to Describe Data in R20 分
Results of Cross-tabulation20 分
Practice in R: Simple Logistic Regression15 分
Feedback: Output and Interpretation from Simple Logistic Regression35 分
2の練習問題
Cross Tabulation30 分
Interpreting Simple Logistic Regression30 分
3
3時間で修了

Running Multiple Logistic Regression in R

Now that you're happy with including one predictor in the model, this week you'll learn how to run multiple logistic regression, including describing and preparing your data and running new logistic regression models. You will have the opportunity to practise your new skills. By the end of the week, you will be able to run multiple logistic regression analysis in R and interpret the output. Good luck!...
1件のビデオ (合計4分), 6 readings, 1 quiz
6件の学習用教材
Describing your Data and Preparing to Run Multiple Logistic Regression35 分
Practice in R: Describing Variables20 分
Feedback20 分
Practice in R: Running Multiple Logistic Regression15 分
Feedback: Multiple Regression Model10 分
Feedback on the Assessment10 分
1の練習問題
Running A New Logistic Regression Model30 分
4
5時間で修了

Assessing Model Fit

Welcome to the final week of the course! In this week, you will learn how to assess model fit and model performance, how to avoid the problem of overfitting, and how to choose what variables from your data set should go into your multiple regression model. You will put all the skills you have learned throughout the course into practice. By the end of this week, you will be able to evaluate the model assumptions for multiple logistic regression in R, and describe and compare some common ways to choose a multiple regression model. Good luck! ...
3件のビデオ (合計17分), 10 readings, 3 quizzes
3件のビデオ
Overfitting and Non-convergence6 分
Summary of the Course3 分
10件の学習用教材
Model Fit in Logistic Regression10 分
How to Interpret Model Fit and Performance Information in R10 分
Further Reading on Model Fit20 分
Summary of Different Ways to Run Multiple Regression10 分
Practice in R: Applying Backwards Elimination30 分
Feedback: Backwards Elimination20 分
Practice in R: Run a Model with Different Predictors30 分
Feedback on the New Model10 分
Further Reading on Model Selection Methods20 分
R Code for the Whole Module20 分
3の練習問題
Quiz on R’s Default Output for the Model30 分
Overfitting and Model Selection20 分
End of Course Quiz
4.6
2件のレビューChevron Right

人気のレビュー

by MAApr 1st 2019

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

講師

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Alex Bottle

Reader in Medical Statistics
School of Public Health

学位の取得に向けて始めましょう

この コース は インペリアル・カレッジ・ロンドン(Imperial College London) の100%オンラインの Global Master of Public Health の一部です。 今日オープンコースまたはスペシャライゼーションを開始して、iMBAの教職員が行っているコースと自分のペースで割り当てられた課題をご覧ください。コースを修了すると、LinkedInや履歴書に掲載できる修了証が発行されます。 完全なプログラムを申し込んで、認可された場合、あなたのコースが学位学習に加算されます。

インペリアル・カレッジ・ロンドン(Imperial College London)について

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....

Statistical Analysis with R for Public Healthの専門講座について

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

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