Sanford Weisberg | |
|
Company S has designed a new mechanical heart valve designed to improve
the health of people with heart disease. How can we tell if the new valve
works, if it is safe, and if it is better--or at least not worse--than
any existing products? To answer questions like these, we need
to collect information: how long will the valve last, how strong is the
material used to make
it, what is the chance of the valve causing complications, what is the
increase in life expectancy in patients who get the valve? Statisticians
figure out how to collect the information to answer these questions, then
figure out how to analyze it, and finally we figure out how to
present it so that the conclusions to be reached are clear and truly
represent the data.
That statisticians can play a role in virtually every area of human affairs makes our subject exciting and challenging. In the last few years, I have worked on projects to equitably apportion the cost of a garbage-burning power plant to local taxpayers; to monitor the quality of air emissions from a large industrial facility; to study sex ratios in offspring of deer as a function of dominance (dominant females tend to have more female offspring); to devise a statistical sampling plan to monitor gas tanks at service stations for leaks; to study nitrogen fixation of various types of plants; to study the strength and other properties of waferboard as a function of the manufacturing conditions; and to study changes in the diets of senior citizens over the last 20 years. In addition to my interests in applying statistics to a wide array of practical and important problems, I maintain a regular program of research into statistical methodology. My main area of research is called statistical diagnostics, which consists of methods designed to help the analyst discover if models or assumptions made in an analysis are consistent with the data actually observed. If so, then an analysis may be reasonable and useful. If not, then either the models, the assumptions, or the data are called into question. Most recently, I have been working on graphical diagnostics that make use of the dynamic capabilities of computer graphics workstations.
|
Questions or comments about the web pages?
Email to webmaster@stat.umn.edu.
Questions about the School of Statistics?
Email to info@stat.umn.edu.
Last updated Tuesday, March 5, 2002.
The University of Minnesota is an equal opportunity educator and employer.
© 2002 by the Regents of the University of Minnesota