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Statistical Methods in Air Pollution Risk Estimation OpenCourseWare: Johns Hopkins University's Free Online Undergraduate Level Environmental Health Course

Published Feb 13, 2009

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An OpenCourseWare version of 'How Risky is Breathing? Statistical Methods in Air Pollution Risk Estimation' is offered online from Johns Hopkins University. Students learn to quantify pollution and identify its effects.

How Risky is Breathing? Statistical Methods in Air Pollution Risk Estimation: Course Specifics

Degree Level Free Audio Video Downloads
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How Risky is Breathing? Statistical Methods in Air Pollution Risk Estimation: Course Description

Francesca Dominici, a new professor in the Biostatistics Department, prepared this one-time lecture. The lecture, part of the Dean's Lecture Series, offers students a look into the issues that come from pollution. The class teaches students to quantify and examine the math involved in biostatistics. How to evaluate the size, chemical composition and source of particulate matter to assess their effect on health is discussed in the lecture. Students learn how to recognize a 'bad air day'. They are instructed in how measuring bad air can be affected by the site and time of measurement as well as how measurements can change over time. It is important to recognize that any study must identifies and minimizes the 'confounding variables,' the variables that impact the study but are not under study.

The OpenCourseWare version of 'How Risky is Breathing?' contains an audio of the lecture, the lecture slides and slide notes. To learn more about the course, head over to the statistics in air pollution risk estimation's course page.

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