Heard of ChatGPT? AI-powered tutors are here!

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Johns Hopkins University

Summary Statistics in Public Health

Johns Hopkins University via Coursera

Go to class Write review

Overview

Class Central Tips
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.

Syllabus

  • The Role of Statistics in Public Health Research
    • 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.
  • Continuous Data Measures
    • 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.
  • The Normal Distribution
    • 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.
  • Binary Data
    • Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
  • Dealing with the Element of Time
    • 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.
  • Course Project
    • 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.

Taught by

John McGready, PhD, MS

Charts

Tags

Reviews

5.0 rating, based on 1 Class Central review

4.8 rating at Coursera based on 1719 ratings

Start your review of Summary Statistics in Public Health

  • Profile image for Aedrian Abrilla
    Aedrian Abrilla @aaabrilla
    This is a good and enticing introduction for the rest of the Coursera Specialization where it belongs. For added value, consider taking this course with a biostatistics textbook for better retention.
Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free