Statistical Reasoning for Public Health 2: Regression Methods

Course
en
English
56 h
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  • From www.coursera.org
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  • Self-paced
  • Free Access
  • Free certificate
More info
  • 7 Sequences
  • Introductive Level

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Course details

Syllabus

  • Week 1 - Introduction and Module 1A: Simple Regression Methods
    In this module, a unified structure for simple regression models will be presented, followed by detailed treatises and examples of both simple linear and logistic models.
  • Week 2 - Module 1B: More Simple Regression Methods
    In this model, more detail is given regarding Cox regression, and it's similarities and differences from the other two regression models from module 1A. The basic structure of the model is detailed, as well as its assumptions, and multiple examples are presen...
  • Week 3 - Module 2A: Confounding and Effect Modification (Interaction)
    This module, along with module 2B introduces two key concepts in statistics/epidemiology, confounding and effect modification. A relation between an outcome and exposure of interested can be confounded if a another variable (or variables) is associated with b...
  • Week 4 - Module 2B: Effect Modification (Interaction
    Effect modification (Interaction), unlike confounding, is a phenomenon of "nature" and cannot be controlled by study design choice. However, it can be investigated in a manner similar to that of confounding. This set of lectures will define and give examples...
  • Week 5 - Module 3A: Multiple Regression Methods
    This module extends linear and logistic methods to allow for the inclusion of multiple predictors in a single regression model.
  • Week 6 - Module 3B: More Multiple Regression Methods
    This set of lectures extends the techniques debuted in lecture set 3 to allow for multiple predictors of a time-to-event outcome using a single, multivariable regression model.
  • Week 7 - Module 4: Additional Topics in Regression
     

Prerequisite

None.

Instructors

  • John McGready - Bloomberg School of Public Health

Editor

Johns Hopkins University (JHU) is a private American university located in Baltimore, Maryland. It also has campuses in Washington, D.C. Bologna, Italy, Singapore and Nanjing, China. It owes its name to Johns Hopkins, a wealthy entrepreneur who bequeathed 7 million dollars to the university on his death.

One of the most prestigious universities in the United States (especially for its faculties of medicine and public health, as well as its school of international affairs), the institution defines itself as the country's leading "research university". At the beginning of its history, it was mainly inspired by the University of Heidelberg and the German educational model of Wilhelm von Humboldt. In 2019, 39 Nobel Prize winners have their names associated with the university.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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