Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
本課程是 Biostatistics in Public Health 專項課程 專項課程的一部分
Simple Regression Analysis in Public Health
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課程信息
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您將學到的內容有
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
您將獲得的技能
P-ValueProportional Hazards ModelConfoundingregression
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立即開始，按照自己的計劃學習。
第 3 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17 小時
建議：4 weeks, 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 3 小時
Simple Regression Methods
Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.
完成時間為 3 小時
8 個視頻 （總計 148 分鐘）, 2 個閱讀材料, 2 個測驗
8 個視頻
Introduction3分鐘
Simple Regression: An Overview17分鐘
Simple Linear Regression with a Binary (or Nominal Categorical) Predictor14分鐘
Simple Linear Regression with a Categorical Predictor22分鐘
Simple Linear Regression with a Continuous Predictor25分鐘
Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25分鐘
Measuring the Strength of a Linear Association22分鐘
Additional Examples17分鐘
2 個閱讀材料
Solutions to Linear Regression Practice Quiz10分鐘
Quiz 1 Solution10分鐘
2 個練習
Practice Quiz: Simple Linear Regression
Simple Linear Regression30分鐘
完成時間為 2 小時
Simple Logistic Regression
Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.
完成時間為 2 小時
6 個視頻 （總計 89 分鐘）, 2 個閱讀材料, 2 個測驗
6 個視頻
Introduction2分鐘
Simple Logistic Regression: An Overview9分鐘
Simple Logistic Regression with a Binary (or Categorical) Predictor22分鐘
Simple Logistic Regression: Accounting for Uncertainty in the Estimates15分鐘
Estimating Risk and Functions of Risk from Logistic Regression Results16分鐘
Additional Examples21分鐘
2 個閱讀材料
Solutions to Practice Quiz on Simple Logistic Regression10分鐘
Quiz 2 Solutions10分鐘
2 個練習
Practice Quiz: Simple Logistic Regression
Logistic Regression30分鐘
完成時間為 3 小時
Simple Cox Proportional Hazards Regression
Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.
完成時間為 3 小時
7 個視頻 （總計 101 分鐘）, 2 個閱讀材料, 2 個測驗
7 個視頻
Introduction2分鐘
Simple Cox Regression: An Overview17分鐘
Simple Cox Regression with a Binary (or Categorical) Predictor17分鐘
Simple Cox Regression with a Continuous Predictor23分鐘
Simple Cox Regression: Accounting for Uncertainty in the Estimates14分鐘
Estimating Survival Curves from Cox Regression Results11分鐘
Additional Examples14分鐘
2 個閱讀材料
Solutions for Practice Quiz on Simple Cox Regression10分鐘
Solutions to Summative Quiz 310分鐘
2 個練習
Practice Quiz: Simple Cox Proportional Hazards Regression
Simple Cox Regression30分鐘
完成時間為 3 小時
Confounding, Adjustment, and Effect Modification
Within module four, you will look at confounding and adjustment, and unadjusted and adjusted association estimates. Additionally, you will learn about effect modification. Similar to previous modules, you will first take a practice quiz before completing the graded quiz.
完成時間為 3 小時
10 個視頻 （總計 117 分鐘）, 1 個閱讀材料, 2 個測驗
10 個視頻
Confounding: A Formal Definition and Some Examples15分鐘
Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11分鐘
Adjusted Estimates: The General Idea Behind the Computations8分鐘
Additional Examples7分鐘
Effect modification: Introduction with an analytic example17分鐘
Effect modification: Tree damage and elevation example15分鐘
Effect modification: Examples from the literature16分鐘
Confounding versus effect modification: A review7分鐘
Additional examples15分鐘
1 個閱讀材料
Solutions to Summative Quiz 410分鐘
2 個練習
Practice Quiz: Confounding and Effect Modification12分鐘
Confounding and Effect Modification30分鐘
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 self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.
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 Project10分鐘
1 個練習
Course Project Quiz2小時
4.7
9 條評論
來自Simple Regression Analysis in Public Health 的熱門評論
Really great course. Thank you for creating this. I'm an epidemiologist but haven't practiced biostatistics in years. This course series not only refreshed but also taught me new things.
Very practical course. The tutor makes complex concepts seem easy.
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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