Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15718
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dc.contributor.advisorSHKEDY, Ziv-
dc.contributor.advisorTHILAKARATHNE, Pushpike-
dc.contributor.authorPolin, Afroza-
dc.date.accessioned2013-10-01T14:48:09Z-
dc.date.available2013-10-01T14:48:09Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1942/15718-
dc.description.abstractThis study is related to a clinical trial; which was designed to test the effectiveness of a new treatment compared to a currently used treatment for prostate cancer. In this study, we focused on finding a dichotomous latent factor based on the observed risk factors - pain score and PSA level, and then estimate the treatment effect.-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.language.isoen-
dc.publishertUL-
dc.titleAnalysis of prostate cancer data at the presence of latent factor: Estimation of the treatment effect-
dc.typeTheses and Dissertations-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Statistics-Biostatistics-
local.type.specifiedMaster thesis-
item.accessRightsOpen Access-
item.contributorPolin, Afroza-
item.fulltextWith Fulltext-
item.fullcitationPolin, Afroza (2013) Analysis of prostate cancer data at the presence of latent factor: Estimation of the treatment effect.-
Appears in Collections:Master theses
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