Lee, Elisa T. 1939–

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Lee, Elisa T. 1939–

PERSONAL: Born May 1, 1939, in Yungsing, China; immigrated to United States; became naturalized citizen; daughter of Chi-Lan (a politician) and Hweichi Lee (a homemaker) Tan; married Samuel Lee (a professor), August 21, 1965; children Vivian S., Jennifer S. Ethnicity: "Chinese." Education: National Taiwan University, B.A., 1961; University of California, Berkeley, M.A., 1964; New York University, Ph.D., 1973. Hobbies and other interests: Cooking, watching old movies.

ADDRESSES: Home—1812 Valley Ridge, Norman, OK 73072. Office—University of Oklahoma Health Science Center, 801 NE 13th St., Oklahoma City, OK 73104. E-mail[email protected].

CAREER: Writer. Bell Laboratories, Murray Hill, NJ, associate member of technical staff, 1965–71; M.D. Anderson Cancer Center, Houston, TX, operations research analyst, 1971–75; University of Oklahoma, Oklahoma City, professor, 1975–. U.S. Food and Drug Administration, member of arthritis and over-the-counter advisory committee; National Institutes of Health, member of EDC1 Study Section.

MEMBER: American Statistical Association (fellow, 1996), National Advisory Council on Minority Health and Health Disparities.

AWARDS, HONORS: Founders Day Award for outstanding scholarship, New York University, 1974; Regents Award for superior teaching, University of Oklahoma, 1983; George Lynn Cross research professorship, University of Oklahoma, 1990.

WRITINGS:

Statistical Methods for Survival Data Analysis, Lifetime Learning Publications (Belmont, CA), 1980, 3rd edition (with John Wenyu Wang), John Wiley (New York, NY), 2003.

Contributor of articles to books and professional journals.

WORK IN PROGRESS: Cardiovascular disease in American Indians; health-related research, training, and community outreach for American Indians; clinical trials to prevent heart disease among Native Americans with diabetes.

SIDELIGHTS: Elisa T. Lee told CA: "When I started to work on the first edition of Statistical Methods for Survival Data Analysis, the subject area was very popular because it was extremely useful in cancer and other health-related research. However, there were only a few books on the subject and most of them were not written for non-statisticians. The publisher and I decided that an easy-to-read book with less theory and more applications would be helpful to many researchers in the health field. I have kept the same style in the second and third editions. Many readers have told me that they have benefited from the book and really enjoy the application-oriented style. It has been a good experience."

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