このコースについて

62,814 最近の表示

受講生の就業成果

50%

コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
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 should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

約15時間で修了
英語
字幕:英語

学習内容

  • Describe when a linear regression model is appropriate to use

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

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

習得するスキル

Correlation And DependenceLinear RegressionR Programming

受講生の就業成果

50%

コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
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 should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

約15時間で修了
英語
字幕:英語

提供:

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

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

修士号の取得を目指しましょう

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。 プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。

シラバス - 本コースの学習内容

1

1

5時間で修了

INTRODUCTION TO LINEAR REGRESSION

5時間で修了
7件のビデオ (合計34分), 9 readings, 5 quizzes
7件のビデオ
Pearson’s Correlation Part I3 分
Pearson’s Correlation Part II6 分
Intro to Linear Regression: Part I4 分
Intro to Linear Regression: Part II3 分
Linear Regression and Model Assumptions: Part I6 分
Linear Regression and Model Assumptions: Part II5 分
9件の学習用教材
About Imperial College London & the Team10 分
How to be successful in this course10 分
Grading policy10 分
Data set and Glossary10 分
Additional Reading10 分
Linear Regression Models: Behind the Headlines5 分
Linear Regression Models: Behind the Headlines: Written Summary20 分
Warnings and precautions for Pearson's correlation20 分
Introduction to Spearman correlation15 分
5の練習問題
Linear Regression Models: Behind the Headlines10 分
Correlations30 分
Spearman Correlation20 分
Practice Quiz on Linear Regression20 分
End of Week Quiz20 分
2

2

4時間で修了

Linear Regression in R

4時間で修了
3件のビデオ (合計11分), 8 readings, 2 quizzes
3件のビデオ
Fitting the linear regression3 分
Multiple Regression4 分
8件の学習用教材
Recap on installing R10 分
Assessing distributions and calculating the correlation coefficient in R 10 分
Feedback10 分
How to fit a regression model in R10 分
Feedback15 分
Fitting the Multiple Regression in R30 分
Feedback10 分
Summarising correlation and linear regression30 分
2の練習問題
Linear Regression20 分
End of Week Quiz20 分
3

3

4時間で修了

Multiple Regression and Interaction

4時間で修了
4件のビデオ (合計17分), 9 readings, 2 quizzes
4件のビデオ
Introduction to Key Dataset Features: Part II2 分
Interactions between binary variables4 分
Interactions between binary and continuous variables5 分
9件の学習用教材
How to assess key features of a dataset in R20 分
How to check your data in R10 分
Good Practice Steps20 分
Practice with R: Run a Good Practice Analysis30 分
Practice with R: Run Multiple Regression30 分
Feedback10 分
Practice with R: Running and interpreting a multiple regression30 分
Feedback15 分
Additional Reading10 分
2の練習問題
Fitting and interpreting model results20 分
Interpretation of interactions20 分
4

4

3時間で修了

MODEL BUILDING

3時間で修了
5件のビデオ (合計16分), 7 readings, 2 quizzes
5件のビデオ
Variable Selection3 分
Developing a Model Building Strategy6 分
Summary of developing a Model Building Strategy56
Summary of Course1 分
7件の学習用教材
Feedback10 分
Further details of limitations of stepwise10 分
How many predictors can I include?10 分
Practice with R: Developing your model
Practice with R: Fitting the final model10 分
Feedback on developing the model10 分
Final R Code20 分
2の練習問題
Problems with automated approaches20 分
End of Course Quiz20 分

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公衆衛生のためのRによる統計分析専門講座について

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....
公衆衛生のためのRによる統計分析

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