What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Biostatistics in Public Health Specialization
Instructor: John McGready, PhD, MS
15,971 already enrolled
Included with
(298 reviews)
Recommended experience
Beginner level
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
(298 reviews)
Recommended experience
Beginner level
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Practice multiple regression methods to determine relationships between an outcome and multiple predictors
Use the Spline approach for non-linear relationships with continuous predictors
Perform calculations with multiple predictor variables
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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, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. 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 multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.
9 videos2 readings2 assignments
Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.
8 videos2 readings2 assignments
The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.
5 videos2 readings2 assignments
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.
1 reading1 assignment
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Reviewed on Jan 20, 2019
Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization
Reviewed on Aug 1, 2019
Incredible way of teaching biostatistics using by just adding more complexity to the same exercises in a gradual form!
Reviewed on Jul 29, 2019
The course is well structured. The numerous examples and practice questions help the student apply the concepts learned. I love the fact that almost every question was from a real article.
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