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.
Este curso faz parte do Programa de cursos integrados Biostatistics in Public Health
Summary Statistics in Public Health
oferecido por
Informações sobre o curso
4.8
41 classificações
O que você vai aprender
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Habilidades que você terá
StatisticsNormal Distributionsummary measuresbinary data
Programa - O que você aprenderá com este curso
Semana
11 hora para concluir
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.
6 vídeos (total de (Total 64 mín.) min), 1 teste
6 videos
Welcome47s
Introduction and Overview11min
Samples Versus Population11min
Considerations with Regard to Study Design22min
Data Types and Summarization8min
Additional Examples9min
1 exercício prático
Practice Quiz: The Role of Statistics in Public Health Research
4 horas para concluir
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 vídeos (total de (Total 88 mín.) min), 2 testes
6 videos
Introduction2min
Useful Summary Statistics24min
Visual Displays16min
The Role of Sample Size on Sample Based Estimates16min
Comparing Distributions of Continuous Data16min
Additional Examples11min
2 exercícios práticos
Practice: Continuous Data Measuress
Continuous Data Measures20min
Semana
23 horas para concluir
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.
5 vídeos (total de (Total 75 mín.) min), 2 testes
5 videos
Introduction3min
The Standard Normal Distribution Defined19min
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26min
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning13min
Additional Examples12min
2 exercícios práticos
Practice: The Normal Distribution30min
The Normal Distributions
Semana
33 horas para concluir
Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
6 vídeos (total de (Total 78 mín.) min), 2 testes
6 videos
Introduction2min
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11min
Comparing Distributions of Binary Data: Risk Difference and Relative Risk22min
Comparing Distributions of Binary Data: Odds Ratios16min
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12min
Additional Examples13min
2 exercícios práticos
Practice: Binary Data20min
Binary Datas
Semana
42 horas para concluir
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.
6 vídeos (total de (Total 85 mín.) min), 2 testes
6 videos
Introduction3min
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24min
Numerically Comparing Groups on Time to Event Outcomes11min
Summarizing Time-to-Event Data, Graphically27min
Graphically Comparing Groups on Time to Event Outcomes9min
Additional Examples10min
2 exercícios práticos
Practice: Dealing with the Element of Time
Dealing with Elements of Times
2 horas para concluir
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 leitura, 1 teste
1 leituras
Biostatistical Consulting Project30min
1 exercício prático
Course Project Quizs
4.8
9 avaliaçõesMelhores avaliações
Dr. McGready did an excellent job putting abstract statistical terms and methods in plain languages (with good examples). I find this course very helpful!
Great course for an introduction into the literally limitless possibilities of interpretation of population data.
Instrutores
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
Sobre Universidade 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.
Sobre o Programa de cursos integrados 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.
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O que recebo ao me inscrever nesta Especialização?
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