2026-09-19T11:37:13Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/169662026-06-06T01:04:39Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William G. Thilly.
Hensle, David, 1981-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-05-19T15:28:31Z
2005-05-19T15:28:31Z
2003
2003
http://hdl.handle.net/1721.1/16966
53464103
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 106-107).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
A biological hypothesis known as the "two-stage cancer model" conceptualizes carcinogenesis in mathematical terms. Prof. W. Thilly (MIT) and Prof. S. Morgenthaler (ETH,) and their students, especially Dr. Pablo Herrero-Jimenez have organized age- and birth cohort-specific cancer mortality data from the United States (1900-1997). Unfortunately, no computer program exists that permits cancer researchers to develop and explore quantitative hypotheses about the values of biological parameters through the analysis of this large and comprehensive data set. In this thesis, initial efforts of the Morgenthaler and Thilly groups have been extended by improving and transporting a preliminary Fortran program incorporating an approximate model into a Java-based program. This program, CancerFit, can be used by cancer researchers without backgrounds in mathematics or computer programming. CancerFit is the first of its kind that deals with the carcinogenic process as a whole, rather than in smaller, individual components.
by David Hensle.
M.Eng.
S.B.
107 p.
723665 bytes
723422 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Computation of population and physiological risk parameters from cancer data
Thesis
application/pdf
Publication
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unknown
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