Multi-parametric numerical simulation of age-specific cancer rates in human populations
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28432 |
| _version_ | 1811075286443229184 |
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| author | Kogel, John, 1981- |
| author2 | William Thilly. |
| author_facet | William Thilly. Kogel, John, 1981- |
| author_sort | Kogel, John, 1981- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T10:03:40Z |
| format | Thesis |
| id | mit-1721.1/28432 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:03:40Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284322019-04-11T00:11:50Z Multi-parametric numerical simulation of age-specific cancer rates in human populations Kogel, John, 1981- William Thilly. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 138). The CancerFit computer program allows cancer researchers to analyze epidemiologic data describing the age-specific risk of cancer in terms of hypotheses about historical environmental risks, the heritability of cancer, the role of gender and the processes embedded in cancer formation. The program was based on the theories of Professor W. Thilly (MIT), Professor S. Morgenthaler (ETH) and their students. Written as a Fortran program by Prof. Morgenthaler it was transported into Java by David Hensle (MIT) who introduced a number of characteristics that enabled MIT students to perform basic parametric analyses for thesis and coursework in cancer epidemiology. In this thesis, the CancerFit application has been extended to include new functionality that allows computation and subsequent analysis of the ratio of two age-specific cancer incidence or mortality datasets. Originally this ratio was proposed to compare the lifetime risks of children of parents with a specific form of cancer and of parents with at least one child with the same cancer; it does this task as intended. However, its use has permitted me to discover a previously unrecognized excess of colon cancer deaths in women relative to men in the 30-64 year age interval. As this is the same age interval for early breast cancer and ovarian cancer onset in women, this finding points to a more general cancer risk in pre-menopausal women than has been previously recognized. Furthermore, the CancerFit program has been improved by permitting the cancer researcher to include historical age-specific survival rates, overall mortality rates, and reporting error rates when these are available. A user can now input data for each of these rates, which the program uses to adjust the mortality data (cont.) to better approximate the age-specific rate of cancer appearance for the cohort studied. These improvements and new clinical data have permitted a clearer understanding of the age-specific risks and in the case of colorectal cancer appear to permit calculation of the critical parameters in this form of human cancer. by John Kogel. M.Eng. 2005-09-26T20:24:54Z 2005-09-26T20:24:54Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28432 56994030 en_US 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 138 p. 6438586 bytes 6455954 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Kogel, John, 1981- Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title | Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title_full | Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title_fullStr | Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title_full_unstemmed | Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title_short | Multi-parametric numerical simulation of age-specific cancer rates in human populations |
| title_sort | multi parametric numerical simulation of age specific cancer rates in human populations |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28432 |
| work_keys_str_mv | AT kogeljohn1981 multiparametricnumericalsimulationofagespecificcancerratesinhumanpopulations |