15.071 | Spring 2017 | Graduate

The Analytics Edge

3.3 The Framingham Heart Study: Evaluating Risk Factors to Save Lives

3.3 The Framingham Heart Study: Evaluating Risk Factors to Save Lives

Quick Question

In Video 3, we built a logistic regression model and found that the following variables were significant (or almost significant) for predicting ten year risk of CHD: male, age, number of cigarettes per day, whether or not the patient previously had a stroke, whether or not the patient is currently hypertensive, total cholesterol level, systolic blood pressure, and blood glucose level. Which one of the following variables would be the most dramatically affected by a behavioral intervention? HINT: Think about how much control the patient has over each of the variables.

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Explanation The number of cigarettes smoked per day would be the most dramatically affected by a behavioral intervention. This is a variable that the patient has the ability to control the most.

Course Info

As Taught In
Spring 2017
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Lecture Videos
Lecture Notes
Problem Sets with Solutions