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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15718

Title: Analysis of prostate cancer data at the presence of latent factor: Estimation of the treatment effect
Authors: Polin, Afroza
Advisors: SHKEDY, Ziv
Thilakarathne, Pushpike
Issue Date: 2013
Publisher: tUL
Abstract: This 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.
Notes: Master of Statistics-Biostatistics
URI: http://hdl.handle.net/1942/15718
Category: T2
Type: Theses and Dissertations
Appears in Collections: Master theses

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