Author

Yanjun Liu

Publication Date

2017

Document Type

Dissertation/Thesis

First Advisor

Zhou, Haiming

Degree Name

M.S. (Master of Science)

Department

Department of Statistics

LCSH

Statistics

Abstract

To analyze spatially correlated time-to-event data, PH model is the current most commonly used semiparametric survival model. This paper extends Zhou and Hanson[(2017), 'A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially referenced data', Journal of the American Statistics Association, in press]'s framework which incorporates PH, AFT, and PO models by adding another competing model, the AH model, and updating their R package spBayesSurv. By using the survregbayes function in this R package, users can easily t and compare PH, PO, AFT, and AH model. Having another easy-to-fit model available for comparison is meaningful, especially when we have data that we suspect a lag period existing before a treatment becomes fully effective.

Comments

Advisors: Haiming Zhou.||Committee members: Duchwan Ryu; Chaoxiong (Michelle) Xia.||Includes illustrations.||Includes bibliographical references.

Extent

30 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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