Modeling recovery curves for prostate cancer

In this thesis, I analyze a dataset containing a time series of various bodily functionality scores for patients following 3 different forms of prostate cancer treatment. I propose a parametric model for those function level time series and show promise that the method can be applied to both simulated and real data.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Wang, Fulton

Advisor dc:contributor.advisor

• Cynthia Rudin.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/82362

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/82362