Linear Regression Modeling for Health Data

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Linear Regression Modeling for Health Data

本课程是 Data Science for Health Research 专项课程的一部分

位教师：Philip S. Boonstra

包含在中

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3个模块

深入了解一个主题并学习基础知识。

中级等级

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1 周完成

在 10 小时一周

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自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Become knowledgeable about the concept of statistical modeling and the basics of statistical inference
Recognize, fit, and interpret a simple linear regression model
Develop intuition to fit and interpret a multiple regression model

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要了解的详细信息

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作业

9 项作业

授课语言：英语（English）

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本课程是 Data Science for Health Research 专项课程专项课程的一部分

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该课程共有3个模块

This course provides learners with a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces learners to the core ideas of traditional statistical inference and reasoning. Learners will get their first look at the ever-popular t-test and delve further into linear regression. They will also learn how to fit and interpret regression models for a continuous outcome with multiple predictors. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured exercises.

This module gives you a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces you to the core ideas of traditional statistical inference and reasoning. At the end of the module, you will have an introductory understanding of important terms such as 'sample-to-population' (STOP) principle, sampling variation, and measures of statistical uncertainty. You will also get your first look at the ever popular t-test.

涵盖的内容

11个视频7篇阅读材料3个作业3个讨论话题

11个视频总计119分钟

Data Science for Health Research: Specialization Introduction6分钟
What is a Statistical Model? (Part 1)18分钟
What is a Statistical Model ? (Part 2) 14分钟
Sampling: Accuracy Versus Precision8分钟
Confidence Intervals11分钟
Hypothesis Testing15分钟
Recap6分钟
What is a t-test Trying to Mimic?10分钟
Guided Practice: t-test part 111分钟
Guided Practice: t-test Part 212分钟
The t-test is a Regression Model7分钟

7篇阅读材料总计63分钟

Meet Your Instructors3分钟
Welcome & Course Syllabus10分钟
Pre-Course Survey10分钟
Introduction To and How To Use Independent Guides 10分钟
1.2 Discussion Prompt Suggested Answer10分钟
1.4 Independent Guide10分钟
End of Module 1 Discussion Prompt Suggested Answer10分钟

3个作业总计90分钟

1.2 Practice Quiz30分钟
1.4 Practice Quiz30分钟
Module 1 Quiz30分钟

3个讨论话题总计30分钟

Meet Your Fellow Global Classmates10分钟
1.2 Discussion Prompt10分钟
End of Module 1 Discussion Prompt10分钟

This module takes you beyond t-test into linear regression. By the end of the module, you will understand how linear regression is a generalization of the t-test.

涵盖的内容

13个视频6篇阅读材料4个作业2个讨论话题

13个视频总计123分钟

Going Beyond the t-test9分钟
Confounding7分钟
Correlation12分钟
The Connection Between Correlation and Simple Linear Regression7分钟
Simple Linear Regression: The Main Idea9分钟
Guided Practice: Linear Regression 10分钟
SLR: Estimation and Residuals8分钟
SLR: Prediction and Interpretation10分钟
Guided Practice: The lm() Function 12分钟
Guided Practice: The summary() Function 11分钟
Guided Practice: Pointing Back to the t-test 14分钟
Simple Linear Regression: an Example7分钟
SLR with Binary Predictors is a t-test8分钟

6篇阅读材料总计60分钟

Introduction to the BPUrban Data10分钟
2.1 Independent Guide10分钟
2.2a Independent Guide10分钟
2.2b Independent Guide10分钟
2.2 Discussion Prompt Suggested Answer10分钟
Module 2 Discussion Prompt Suggested Answer10分钟

4个作业总计120分钟

2.1 Practice Quiz30分钟
2.2 Practice Quiz30分钟
Comprehension Check 30分钟
Module 2 Quiz30分钟

2个讨论话题总计20分钟

2.2 Discussion Prompt10分钟
End of Module 2 Discussion Prompt10分钟

A key reason that linear regression is so powerful is that it allows to adjust for multiple predictors at the same time. In Module 3, you will learn how to fit regression models for multiple predictors. You will see how to interpret the resulting model and how to use it to answer different questions about your data.

涵盖的内容

8个视频3篇阅读材料2个作业1个讨论话题

8个视频总计58分钟

Introduction to Multiple Linear Regression or Regression with Multiple Predictors7分钟
Multiple Regression: The Basic Setup3分钟
Multiple Regression: Interpreting Coefficients6分钟
Guided Practice: How to Fit an MLR 16分钟
Multiple Regression: Prediction Intervals Versus Confidence Intervals5分钟
Multiple Regression: Choosing From Among Variables5分钟
Using Multiple Regression to Answer Different Types of Questions 7分钟
Evaluating Regression Models: MSE, Mallows Cp, and PRESS9分钟

3篇阅读材料总计30分钟

3.2 Independent Guide10分钟
End of Module 3 Discussion Prompt Suggested Answer10分钟
Post-Course Survey10分钟

2个作业总计60分钟

3.3 Practice Quiz30分钟
Module 3 Quiz30分钟

1个讨论话题总计10分钟

End of Module 3 Discussion Prompt10分钟

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位教师

Philip S. Boonstra

University of Michigan

4 门课程4,341 名学生

提供方

University of Michigan

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