Work

Bayesian approach to survival analysis

Year: 2024

Type: dissertation

Abstract: In the first part of this thesis, we introduce the basics of survival analysis and its key concepts such as data censoring. We then introduce Bayesian statistics, comparing it to the frequentist approach through a simple example. We derive the exponential and Weibull models, expanding both into regression models. Here, we are met with the use of MCMC methods, which we explain in detail. Finally, we apply the developed theory to a real-world case by conducting a survival analysis of heart failure patients.

Source: Repository of the University of Ljubljana (University of Ljubljana)

Author: Luštrek, Tanja

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6989379494

Cites:

Cited by:

Related to: