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.
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
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4.8
(1,934 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 15 hours
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
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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
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
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
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
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
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
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
Instructor
Instructor ratings
4.8 (693 ratings)Offered by
Recommended if you're interested in Public Health
Johns Hopkins University
IIMA - IIM Ahmedabad
University of Minnesota
Johns Hopkins University
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4.8
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Showing 3 of 1934
M
5
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
UK
5
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
MS
5
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.
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