A Bayesian Analysis of Sub-Samples in Survival Analysis

Zeleke Worku
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Zeleke Worku: Tshwane University of Technology (TUT) Business School, South Africa

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 2, 40-48

Abstract: A Bayesian analysis of sub-samples was performed in order to estimate predictors of survival that were based on exponential and Weibull models. Analysis was done by using data followed up over a five-year period on a random sample of 4001 children under five years of age and their mothers from the Maseru District of Lesotho. In the process of constructing both models, the presence of censored observations and truncation at the age of five years were taken into account.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:2:p:40-48

DOI: 10.19080/BBOAJ.2017.03.555609

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