Summary Statistics in Public Health

Summary Statistics in Public Health

This course is part of Biostatistics in Public Health Specialization

Instructor: John McGready, PhD, MS

Access provided by Micron Technology

65,747 already enrolled

6 modules

Gain insight into a topic and learn the fundamentals.

2,049 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

6 modules

Gain insight into a topic and learn the fundamentals.

2,049 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

What you'll learn

Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data

Skills you'll gain

Details to know

Shareable certificate

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Assessments

10 assignments

Taught in English

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This course is part of the Biostatistics in Public Health Specialization

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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

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

Continuous Data Measures 80 minutes
Practice: Continuous Data Measures 60 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

The Normal Distribution 60 minutes
Practice: The Normal Distribution 30 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

Binary Data 60 minutes
Practice: Binary Data 30 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

Dealing with Elements of Time 60 minutes
Practice: Dealing with the Element of Time 0 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

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Instructor

Instructor ratings

(737 ratings)

John McGready, PhD, MS

Johns Hopkins University

6 Courses 101,842 learners

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Johns Hopkins University

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Reviewed on Apr 11, 2023

The Course was very challenging and fun to complete, I failed several times however whenever I went back and attended class again I understood better.... and got excited about the course more

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 Jul 5, 2019

Great course. The lecturer makes things so easy to understand. I love that there are additional examples available. I will definitely recommend this course to everyone in healthcare

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