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 forma parte de Programa Especializado - Biostatistics in Public Health
Summary Statistics in Public Health
ofrecido por
Acerca de este Curso
4.8
43 calificaciones
Qué aprenderás
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Habilidades que obtendrás
StatisticsNormal Distributionsummary measuresbinary data
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
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 videos (Total 64 minutos), 1 quiz
6 videos
Welcome47s
Introduction and Overview11m
Samples Versus Population11m
Considerations with Regard to Study Design22m
Data Types and Summarization8m
Additional Examples9m
1 ejercicio de práctica
Practice Quiz: The Role of Statistics in Public Health Research
4 horas para completar
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 videos (Total 88 minutos), 2 quizzes
6 videos
Useful Summary Statistics24m
Visual Displays16m
The Role of Sample Size on Sample Based Estimates16m
Comparing Distributions of Continuous Data16m
Additional Examples11m
2 ejercicios de práctica
Practice: Continuous Data Measuress
Continuous Data Measures20m
Semana
23 horas para completar
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 videos (Total 75 minutos), 2 quizzes
5 videos
The Standard Normal Distribution Defined19m
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26m
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning13m
Additional Examples12m
2 ejercicios de práctica
Practice: The Normal Distribution30m
The Normal Distributions
Semana
33 horas para completar
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 videos (Total 78 minutos), 2 quizzes
6 videos
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11m
Comparing Distributions of Binary Data: Risk Difference and Relative Risk22m
Comparing Distributions of Binary Data: Odds Ratios16m
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12m
Additional Examples13m
2 ejercicios de práctica
Practice: Binary Data20m
Binary Datas
Semana
42 horas para completar
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 videos (Total 85 minutos), 2 quizzes
6 videos
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24m
Numerically Comparing Groups on Time to Event Outcomes11m
Summarizing Time-to-Event Data, Graphically27m
Graphically Comparing Groups on Time to Event Outcomes9m
Additional Examples10m
2 ejercicios de práctica
Practice: Dealing with the Element of Time
Dealing with Elements of Times
2 horas para completar
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 reading, 1 quiz
1 lectura
Biostatistical Consulting Project30m
1 ejercicio de práctica
Course Project Quizs
Principales revisiones
Dr. McGready did an excellent job putting abstract statistical terms and methods in plain languages (with good examples). I find this course very helpful!
Excellent teaching and good examples which help in manipulating and visualizing huge data samples . Good course which i recommend for everyone.
Instructor
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
Acerca de Universidad 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.
Acerca del programa especializado 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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