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.
Ce cours fait partie de la Spécialisation Biostatistics in Public Health
Summary Statistics in Public Health
proposé par
À propos de ce cours
4.8
17 notes
Ce que vous allez apprendre
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Compétences que vous acquerrez
StatisticsNormal Distributionsummary measuresbinary data
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1The 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.
6 vidéos (Total 64 min), 1 quiz
6 vidéos
Welcome47s
Introduction and Overview11 min
Samples Versus Population11 min
Considerations with Regard to Study Design22 min
Data Types and Summarization8 min
Additional Examples9 min
1 exercice pour s'entraîner
Practice Quiz: The Role of Statistics in Public Health Research
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.
6 vidéos (Total 110 min), 2 quiz
6 vidéos
Introduction24 min
Useful Summary Statistics24 min
Visual Displays16 min
The Role of Sample Size on Sample Based Estimates16 min
Comparing Distributions of Continuous Data16 min
Additional Examples11 min
2 exercices pour s'entraîner
Practice: Continuous Data Measuress
Continuous Data Measures20 min
Semaine
2The 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.
5 vidéos (Total 75 min), 2 quiz
5 vidéos
Introduction3 min
The Standard Normal Distribution Defined19 min
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26 min
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning13 min
Additional Examples12 min
2 exercices pour s'entraîner
Practice: The Normal Distribution30 min
The Normal Distributions
Semaine
3Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
6 vidéos (Total 78 min), 2 quiz
6 vidéos
Introduction2 min
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11 min
Comparing Distributions of Binary Data: Risk Difference and Relative Risk22 min
Comparing Distributions of Binary Data: Odds Ratios16 min
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12 min
Additional Examples13 min
2 exercices pour s'entraîner
Practice: Binary Data20 min
Binary Datas
Semaine
4Dealing 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.
6 vidéos (Total 85 min), 2 quiz
6 vidéos
Introduction3 min
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24 min
Numerically Comparing Groups on Time to Event Outcomes11 min
Summarizing Time-to-Event Data, Graphically27 min
Graphically Comparing Groups on Time to Event Outcomes9 min
Additional Examples10 min
2 exercices pour s'entraîner
Practice: Dealing with the Element of Time
Dealing with Elements of Times
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.
1 lecture, 1 quiz
1 lecture
Biostatistical Consulting Project30 min
1 exercice pour s'entraîner
Course Project Quizs
4.8
2 avisMeilleurs avis
par HP•Feb 13th 2019
Dr. McGready did an excellent job putting abstract statistical terms and methods in plain languages (with good examples). I find this course very helpful!
Enseignant
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
À propos de Université Johns-Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
À propos de la Spécialisation Biostatistics in Public Health
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
Foire Aux Questions
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