Summary Statistics in Public Health
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Summary Statistics in Public Health
This course is part of Biostatistics in Public Health Specialization
Instructor: John McGready, PhD, MS
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What you'll learn
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
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There are 6 modules in this course
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
What's included
6 videos1 assignment
6 videos•Total 64 minutes
- Welcome•1 minute
- Introduction and Overview•11 minutes
- Samples Versus Population•11 minutes
- Considerations with Regard to Study Design•23 minutes
- Data Types and Summarization•9 minutes
- Additional Examples•10 minutes
1 assignment
- Practice Quiz: The Role of Statistics in Public Health Research•0 minutes
Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
What's included
6 videos1 reading2 assignments
6 videos•Total 88 minutes
- Introduction•2 minutes
- Useful Summary Statistics•25 minutes
- Visual Displays•16 minutes
- The Role of Sample Size on Sample Based Estimates•16 minutes
- Comparing Distributions of Continuous Data•16 minutes
- Additional Examples•12 minutes
1 reading•Total 10 minutes
- Summative Quiz Solutions•10 minutes
2 assignments•Total 140 minutes
- Practice: Continuous Data Measures•60 minutes
- Continuous Data Measures•80 minutes
The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
What's included
5 videos2 assignments
5 videos•Total 75 minutes
- Introduction•3 minutes
- The Standard Normal Distribution Defined•19 minutes
- Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data•26 minutes
- What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning•14 minutes
- Additional Examples•13 minutes
2 assignments•Total 90 minutes
- Practice: The Normal Distribution•30 minutes
- The Normal Distribution•60 minutes
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
What's included
6 videos1 reading2 assignments
6 videos•Total 78 minutes
- Introduction•3 minutes
- Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)•11 minutes
- Comparing Distributions of Binary Data: Risk Difference and Relative Risk•23 minutes
- Comparing Distributions of Binary Data: Odds Ratios•16 minutes
- A Brief Note About Ratios (Will Also Be Revisited Later in the Course)•12 minutes
- Additional Examples•13 minutes
1 reading•Total 10 minutes
- Summative Quiz Solutions•10 minutes
2 assignments•Total 90 minutes
- Practice: Binary Data•30 minutes
- Binary Data•60 minutes
In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.
What's included
6 videos1 reading2 assignments
6 videos•Total 85 minutes
- Introduction•3 minutes
- Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)•24 minutes
- Numerically Comparing Groups on Time to Event Outcomes•11 minutes
- Summarizing Time-to-Event Data, Graphically•28 minutes
- Graphically Comparing Groups on Time to Event Outcomes•9 minutes
- Additional Examples•10 minutes
1 reading•Total 10 minutes
- Summative Quiz Solutions•10 minutes
2 assignments•Total 60 minutes
- Practice: Dealing with the Element of Time•0 minutes
- Dealing with Elements of Time•60 minutes
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.
What's included
2 readings1 assignment
2 readings•Total 40 minutes
- Biostatistical Consulting Project•30 minutes
- Course Project Quiz Solutions•10 minutes
1 assignment•Total 60 minutes
- Course Project Quiz•60 minutes
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Reviewed on Jun 2, 2020
The course has strengthen my understanding on the basics of statistics. I also wish they will include the training on the use of statistical software for analysis. Thank you team cousera
Reviewed on Feb 14, 2024
A contemporary review of statistical theory and application principals to either add to or interpret scientific literature. A necessary everyday tool for research scientists.
Reviewed on May 11, 2020
Excellent explanations and interesting quizzes. I really enjoyed the final project. There was some echo throughout the lectures which was somewhat distracting, but that's minor. Thank you very much!
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