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3.3.3 The Framingham Heart Study - Video 2: Risk Factors
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MIT 15.071 The Analytics Edge, Spring 2017 - 3.3.3 The Framingham Heart Study - Video 2: Risk Factors

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MIT 15.071 The Analytics Edge, Spring 2017 3.3.3 The Framingham Heart Study - Video 2: Risk Factors

3.3.3 The Framingham Heart Study - Video 2: Risk Factors Transcript and Lesson Notes

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to identify independent variable to use in a model to predict heart disease. License: Crea

Quick Summary

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to identify independent variable to use in a model to predict heart disease. License: Crea

Key Takeaways

  • Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to identify independent variable to use in a model to predict heart disease. License: Crea
  • Understand how logistical regression model fits into 3.3.3 The Framingham Heart Study - Video 2: Risk Factors.
  • Understand how medical interventions fits into 3.3.3 The Framingham Heart Study - Video 2: Risk Factors.
  • Understand how coronary heart disease fits into 3.3.3 The Framingham Heart Study - Video 2: Risk Factors.
  • Understand how CHD fits into 3.3.3 The Framingham Heart Study - Video 2: Risk Factors.

Key Concepts

Full Transcript

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to identify independent variable to use in a model to predict heart disease. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

Lesson FAQs

What is 3.3.3 The Framingham Heart Study - Video 2: Risk Factors about?

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to identify independent variable to use in a model to predict heart disease. License: Crea

What key concepts are covered in this lesson?

The lesson covers logistical regression model, medical interventions, coronary heart disease, CHD, BMI.

What should I learn before 3.3.3 The Framingham Heart Study - Video 2: Risk Factors?

Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: logistical regression model, medical interventions, coronary heart disease, CHD.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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