Margaret Spitz, MD, Oral History Interview, October 13, 2016
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Description
Major Topics Covered:
- Personal background, education, emigration from South Africa
- History of the Division of Cancer Prevention
- History of the Department of Epidemiology
- History of the field of Epidemiology
- Epidemiology research: predictive models, lung cancer
Identifier
SpritzM_01_20161013
Publication Date
10-13-2016
Publisher
The Historical Resources Center, Research Medical Library, The University of Texas Cancer Center
City
Houston, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Topics Covered
University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center, University of Texas System. M.D. Anderson Cancer Center, M.D. Anderson Hospital and Tumor Institute at Houston, University of Texas M.D. Anderson Cancer Center, M.D. Anderson Hospital and Tumor Institute
Disciplines
History of Science, Technology, and Medicine | Oncology | Oral History
Recommended Citation
Spitz, Margaret R. MD and Rosolowksi, Tacey A. PhD, "Margaret Spitz, MD, Oral History Interview, October 13, 2016" (2016). Interview Sessions. 189.
https://openworks.mdanderson.org/mchv_interviewsessions/189
Conditions Governing Access
Open
About the Interview
About the Interview Subject
Margaret Spitz, MD (b. 11 August 1943 in Johannesburg, South Africa ) came to MD Anderson in 1981 as an Assistant Professor in the newly created Department of Cancer Prevention and Control in the Division of Medicine. Between 1995 and 2008, Dr. Spitz served as founding Chair of the Department of Epidemiology. When she left the institution in 2011, she was a full Professor in the Department of Epidemiology, Division of Cancer Prevention and Population Sciences. Dr. Spitz joined the Baylor College of Medicine in 2009. At the time of the interview she was serving as a Professor in the Department of Molecular and Cellular Biology at the Dan L. Duncan Center. Dr. Spitz is known for her work on predictive models for lung cancer and for conceptualizing and promoting the sub-field of integrative epidemiology.