Simple Regression Analysis in Public Health
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Simple Regression Analysis in Public Health
This course is part of Biostatistics in Public Health Specialization
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What you'll learn
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
Skills you'll gain
- Epidemiology
- Quantitative Research
- Statistical Inference
- Statistics
- Medical Science and Research
- Statistical Methods
- Public Health and Disease Prevention
- Correlation Analysis
- Probability & Statistics
- Risk Analysis
- Public Health
- Regression Analysis
- Biostatistics
- Logistic Regression
- Statistical Modeling
- Risk Modeling
- Data Literacy
- Statistical Analysis
Details to know
9 assignments
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There are 5 modules in this course
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.
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.
What's included
8 videos2 readings2 assignments
8 videosβ’Total 148 minutes
- Introductionβ’3 minutes
- Simple Regression: An Overviewβ’17 minutes
- Simple Linear Regression with a Binary (or Nominal Categorical) Predictorβ’14 minutes
- Simple Linear Regression with a Categorical Predictorβ’22 minutes
- Simple Linear Regression with a Continuous Predictorβ’26 minutes
- Simple Linear Regression Model: Estimating the Regression EquationβAccounting for Uncertainty in the Estimatesβ’26 minutes
- Measuring the Strength of a Linear Associationβ’23 minutes
- Additional Examplesβ’17 minutes
2 readingsβ’Total 20 minutes
- Solutions to Linear Regression Practice Quizβ’10 minutes
- Quiz 1 Solutionβ’10 minutes
2 assignmentsβ’Total 30 minutes
- Simple Linear Regressionβ’30 minutes
- Practice Quiz: Simple Linear Regressionβ’0 minutes
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.
What's included
7 videos2 readings2 assignments
7 videosβ’Total 114 minutes
- Introductionβ’3 minutes
- Simple Logistic Regression: An Overviewβ’10 minutes
- Simple Logistic Regression with a Binary (or Categorical) Predictorβ’23 minutes
- Simple Logistic Regression with a Continuous Predictorβ’25 minutes
- Simple Logistic Regression: Accounting for Uncertainty in the Estimatesβ’16 minutes
- Estimating Risk and Functions of Risk from Logistic Regression Resultsβ’17 minutes
- Additional Examplesβ’21 minutes
2 readingsβ’Total 20 minutes
- Solution Examples to Practice Quiz on Simple Logistic Regressionβ’10 minutes
- Quiz 2 Solutionsβ’10 minutes
2 assignmentsβ’Total 30 minutes
- Logistic Regressionβ’30 minutes
- Practice Quiz: Simple Logistic Regressionβ’0 minutes
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.
What's included
7 videos2 readings2 assignments
7 videosβ’Total 101 minutes
- Introductionβ’2 minutes
- Simple Cox Regression: An Overviewβ’17 minutes
- Simple Cox Regression with a Binary (or Categorical) Predictorβ’18 minutes
- Simple Cox Regression with a Continuous Predictorβ’24 minutes
- Simple Cox Regression: Accounting for Uncertainty in the Estimatesβ’15 minutes
- Estimating Survival Curves from Cox Regression Resultsβ’12 minutes
- Additional Examplesβ’14 minutes
2 readingsβ’Total 25 minutes
- Solutions for Practice Quiz on Simple Cox Regressionβ’15 minutes
- Solutions to Summative Quiz 3β’10 minutes
2 assignmentsβ’Total 30 minutes
- Simple Cox Regressionβ’30 minutes
- Practice Quiz: Simple Cox Proportional Hazards Regressionβ’0 minutes
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.
What's included
10 videos1 reading2 assignments
10 videosβ’Total 117 minutes
- Introductionβ’1 minute
- Confounding: A Formal Definition and Some Examplesβ’16 minutes
- Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confoundingβ’12 minutes
- Adjusted Estimates: The General Idea Behind the Computationsβ’8 minutes
- Additional Examplesβ’8 minutes
- Effect modification: Introduction with an analytic exampleβ’17 minutes
- Effect modification: Tree damage and elevation exampleβ’15 minutes
- Effect modification: Examples from the literatureβ’17 minutes
- Confounding versus effect modification: A reviewβ’8 minutes
- Additional examplesβ’15 minutes
1 readingβ’Total 10 minutes
- Solutions to Summative Quiz 4β’10 minutes
2 assignmentsβ’Total 60 minutes
- Confounding and Effect Modificationβ’30 minutes
- Practice Quiz: Confounding and Effect Modificationβ’30 minutes
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.
What's included
1 reading1 assignment
1 readingβ’Total 10 minutes
- Biostatistical Consulting Projectβ’10 minutes
1 assignmentβ’Total 120 minutes
- Course Project Quizβ’120 minutes
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Reviewed on Dec 9, 2020
Complex analyses clearly explained, with an emphasis on interpretation rather than on mechanics. Excellent examples from published literature used throughout. Highly recommended!
Reviewed on Sep 5, 2020
Such complex concepts explained with ease. The section on confounding requires more than one reading. Really enjoyed it.
Reviewed on Mar 21, 2023
Very happy that all I requested for was attended to i.e explanation especially of the summative assessment and others as required.Thank you so very much for making the learning impactful
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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