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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

67,602 already enrolled

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6 modules

Gain insight into a topic and learn the fundamentals.

2,058 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.

2,058 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

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

91% of learners achieved a positive career outcome

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This course is part of the Biostatistics in Public Health Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Develop job-relevant skills with hands-on projects
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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.

Module details

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 videosTotal 88 minutes

Introduction2 minutes
Useful Summary Statistics25 minutes
Visual Displays16 minutes
The Role of Sample Size on Sample Based Estimates16 minutes
Comparing Distributions of Continuous Data16 minutes
Additional Examples12 minutes

1 readingTotal 10 minutes

Summative Quiz Solutions10 minutes

2 assignmentsTotal 140 minutes

Continuous Data Measures80 minutes
Practice: Continuous Data Measures60 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 videosTotal 75 minutes

Introduction3 minutes
The Standard Normal Distribution Defined19 minutes
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26 minutes
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning14 minutes
Additional Examples13 minutes

2 assignmentsTotal 90 minutes

The Normal Distribution60 minutes
Practice: The Normal Distribution30 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 videosTotal 78 minutes

Introduction3 minutes
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11 minutes
Comparing Distributions of Binary Data: Risk Difference and Relative Risk23 minutes
Comparing Distributions of Binary Data: Odds Ratios16 minutes
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12 minutes
Additional Examples13 minutes

1 readingTotal 10 minutes

Summative Quiz Solutions10 minutes

2 assignmentsTotal 90 minutes

Binary Data60 minutes
Practice: Binary Data30 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 videosTotal 85 minutes

Introduction3 minutes
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24 minutes
Numerically Comparing Groups on Time to Event Outcomes11 minutes
Summarizing Time-to-Event Data, Graphically28 minutes
Graphically Comparing Groups on Time to Event Outcomes9 minutes
Additional Examples10 minutes

1 readingTotal 10 minutes

Summative Quiz Solutions10 minutes

2 assignmentsTotal 60 minutes

Dealing with Elements of Time60 minutes
Practice: Dealing with the Element of Time0 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

(739 ratings)

John McGready, PhD, MS

Johns Hopkins University

6 Courses103,802 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
83.47%
4 stars
14.13%
3 stars
1.55%
2 stars
0.34%
1 star
0.48%

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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

Reviewed on Aug 19, 2019

The instructor is very well-spoken and the course material is explained very clearly. The additional example videos are also great if you need to further your understanding.

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