- Level Foundation
- المدة 20 ساعات hours
- الطبع بواسطة Universiteit Leiden
-
Offered by
عن
In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical methods are needed to make claims about the whole population of interest. You will discover how statistical inference, hypothesis testing and regression techniques will help you to make the connection between samples and populations. A final important aspect is interpreting and reporting. How can we transform information into knowledge? How can we separate trustworthy information from noise? In the last part of the course, we will cover the critical assessment of the results, and we will discuss challenges and dangers of data analysis in the era of big data and massive amounts of information. In this course, we will emphasize the concepts and we will also teach you how to effectively perform your analysis using R. You do not need to install R on your computer to follow the course, you will be able to access R and all the example data sets within the Coursera environment. This course will become part of the to-be-developed Leiden University master program Population Health Management. If you wish to find out more about this program see the last reading of this Course!الوحدات
Welcome to the course
1
Discussions
- Introduce yourself
2
Videos
- Population health: Responsible Data Analysis
- How to succeed in your online class?
3
Readings
- Meet the instructors & the team
- About this Course
- Glossary
Introduction
1
Videos
- Introduction
Structured data collection
1
Assignment
- Practice quiz
1
Videos
- Structured data collection
1
Readings
- Structured data collection in practice
Data privacy and security
1
Assignment
- Practice Quiz
1
Videos
- Data privacy and security
1
Readings
- Privacy and security in practice
Data description
1
Assignment
- R exercise
1
Videos
- Data description
1
Readings
- Case Study: Descriptive Statistics
Initial data analysis
1
Assignment
- R exercise: Initial data analysis
1
Videos
- Initial data analysis
1
Readings
- Case study: Initial data analysis in practice
To conclude
2
Assignment
- Reflect on your goals
- Test your knowledge
1
Videos
- To conclude
Introduction
1
Videos
- Introduction
Statistical inference
1
Assignment
- Practice quiz statistical interference
1
Videos
- Statistical Inference
1
Readings
- Confidence intervals in practice
Fundamentals of hypothesis testing
1
Assignment
- Practice quiz hypothesis testing
1
Videos
- Fundamentals of hypothesis testing
1
Readings
- Relation between p-values and confidence intervals
Choosing the right statistical test
1
Assignment
- Practice quiz: Which test?
1
Videos
- Choosing the right statistical test
1
Readings
- Hypothesis testing in practice
Sample size calculation
1
Assignment
- Practice quiz: Sample size
1
Videos
- Sample size calculation
1
Readings
- Case study: Sample size calculation in practice
To conclude
2
Assignment
- Reflect on your goals
- Test your knowledge
1
Videos
- To conclude
Introduction
1
Videos
- Introduction
Simple linear regression
1
Assignment
- R - exercise: Simple linear regression
1
Videos
- Simple linear regression
2
Readings
- Case study: Simple linear regression in practice
- Dealing with binary explanatory variables
Multiple linear regression
1
Assignment
- R exercise: Multiple linear regression
1
Videos
- Multiple linear regression
1
Readings
- Case study: Multiple linear regression in practice
Logistic regression
1
Assignment
- R exercise: Logistic regression
1
Videos
- Logistic regression
1
Readings
- Case study: Logistic regression in practice
Cox proportional hazards regression
1
Assignment
- R-exercise: Cox proportional hazards regression
1
Videos
- Cox proportional hazards regression
1
Readings
- Case study: Cox proportional hazards regression in practice
To conclude
2
Assignment
- Reflect on your goals
- Test your knowledge
1
Videos
- To conclude
Introduction
1
Discussions
- What is responsible data analysis?
1
Videos
- Introduction
Are most research findings false?
1
Assignment
- Practice quiz
1
Videos
- Are most research findings false?
1
Readings
- The Likelihood of Irreproducible Research
Abandoning P-values? - Interview
1
Videos
- Interview
1
Readings
- Abandoning p-values?
Data alone does not tell the whole story
1
Videos
- Data alone does not tell the whole story
1
Readings
- Understanding Simpson's paradox
Good statistical practice
1
Videos
- Good statistical practice
1
Readings
- Why do we need to plan ahead?
To conclude
2
Assignment
- Reflect on your goals
- Test your knowledge
1
Videos
- To conclude
Course conclusion
1
Assignment
- Final assessment
1
Discussions
- Share your Glossary
1
Videos
- Course Conclusion
Auto Summary
Unlock the power of data in health with "Population Health: Responsible Data Analysis." Designed for aspiring health population managers, this foundational course delves into ethical data analysis, from data collection to interpretation. Led by experts, you'll master statistical methods, hypothesis testing, and regression using R—all within Coursera's platform. With a focus on transforming data into actionable insights, this engaging course is ideal for beginners and offers flexible subscription options. Join now to enhance your skills and contribute to impactful health decisions.

Mar Rodriguez Girondo

Jelle Goeman

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