Dissertation/Thesis Abstract

Bayesian Approaches to Survival Analysis with Applications in Anthropology
by Soussan, Keren, M.S., California State University, Long Beach, 2018, 54; 10841683
Abstract (Summary)

Survival Analysis is a widely accepted approach to a large number of anthropological datasets that record time to event in the presence of drop-outs. In this thesis, we will give theoretical framework and illustration of Bayesian methodology in Survival Analysis. Such techniques as Kaplan-Meier estimation of survival function and Cox proportional hazard model will be presented through the prism of Bayesian inference. Illustrative datasets will be obtained from Professor Mary Shenk. The analysis will be conducted in SAS.

Indexing (document details)
Advisor: Korosteleva, Olga
Commitee: Safer, Alan, Suaray, Kagba
School: California State University, Long Beach
Department: Mathematics and Statistics
School Location: United States -- California
Source: MAI 58/02M(E), Masters Abstracts International
Subjects: Statistics
Publication Number: 10841683
ISBN: 9780438585836
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