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.
本課程是 Biostatistics in Public Health 專項課程 專項課程的一部分
Summary Statistics in Public Health
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課程信息
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Learner Career Outcomes
50%
完成這些課程後已開始新的職業生涯
50%
通過此課程獲得實實在在的工作福利
您將學到的內容有
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
您將獲得的技能
StatisticsNormal Distributionsummary measuresbinary data
Learner Career Outcomes
50%
完成這些課程後已開始新的職業生涯
50%
通過此課程獲得實實在在的工作福利
100% 在線
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第 1 門課程（共 4 門）
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初級
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
完成時間大約為14 小時
建議：4 weeks of study, 3-4 hours/week
英語（English）
字幕：英語（English）
教學大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
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.
完成時間為 1 小時
6 個視頻 （總計 64 分鐘）, 1 個測驗
6 個視頻
Welcome47
Introduction and Overview11分鐘
Samples Versus Population11分鐘
Considerations with Regard to Study Design22分鐘
Data Types and Summarization8分鐘
Additional Examples9分鐘
1 個練習
Practice Quiz: The Role of Statistics in Public Health Research
完成時間為 4 小時
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.
完成時間為 4 小時
6 個視頻 （總計 88 分鐘）, 2 個測驗
6 個視頻
Introduction2分鐘
Useful Summary Statistics24分鐘
Visual Displays16分鐘
The Role of Sample Size on Sample Based Estimates16分鐘
Comparing Distributions of Continuous Data16分鐘
Additional Examples11分鐘
2 個練習
Practice: Continuous Data Measures1小時
Continuous Data Measures1 小時 20 分
完成時間為 3 小時
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.
完成時間為 3 小時
5 個視頻 （總計 75 分鐘）, 2 個測驗
5 個視頻
Introduction3分鐘
The Standard Normal Distribution Defined19分鐘
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26分鐘
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning13分鐘
Additional Examples12分鐘
2 個練習
Practice: The Normal Distribution30分鐘
The Normal Distribution1小時
完成時間為 3 小時
Binary Data
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
完成時間為 3 小時
6 個視頻 （總計 78 分鐘）, 2 個測驗
6 個視頻
Introduction2分鐘
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11分鐘
Comparing Distributions of Binary Data: Risk Difference and Relative Risk22分鐘
Comparing Distributions of Binary Data: Odds Ratios16分鐘
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12分鐘
Additional Examples13分鐘
2 個練習
Practice: Binary Data30分鐘
Binary Data1小時
完成時間為 2 小時
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.
完成時間為 2 小時
6 個視頻 （總計 85 分鐘）, 2 個測驗
6 個視頻
Introduction3分鐘
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24分鐘
Numerically Comparing Groups on Time to Event Outcomes11分鐘
Summarizing Time-to-Event Data, Graphically27分鐘
Graphically Comparing Groups on Time to Event Outcomes9分鐘
Additional Examples10分鐘
2 個練習
Practice: Dealing with the Element of Time
Dealing with Elements of Time1小時
完成時間為 2 小時
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.
完成時間為 2 小時
1 個閱讀材料, 1 個測驗
1 個閱讀材料
Biostatistical Consulting Project30分鐘
1 個練習
Course Project Quiz1小時
4.8
77 條評論
來自Summary Statistics in Public Health 的熱門評論
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
This is a well structured content. The course is presented in the most simplest form to accommodate complete novices. I found it very educative, practical and lucidly intense.
講師
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
關於 约翰霍普金斯大学
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.
關於 Biostatistics in Public Health 專項課程
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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