Bibliographic Details
| Title: |
Modeling survival durations of patients undergoing aortic valve replacement |
| Authors: |
Camilleri, Liberato, Grech, Lawrence, Manche, Alex, 2021 ISC Conference |
| Publisher Information: |
University of Malta |
| Publication Year: |
2021 |
| Collection: |
University of Malta: OAR@UM / L-Università ta' Malta |
| Subject Terms: |
Mathematical statistics -- Data processing, Clinical trials -- Statistical methods, Statistics, Probabilities, Perfect simulation (Statistics) |
| Description: |
Survival analysis is a useful statistical tool for problems that deal with survival data. This data is used in order to analyze the predicted duration for a certain event to occur. Initial survival analysis was linked explicitly with events related to death. However, this is no longer the case and nowadays survival analysis is used in almost all research areas to model duration of device failure or relapse duration to drug, smoking and alcohol addiction. This paper presents several approaches to model survival durations of patients undergoing aortic valve replacement. These survival models will be used to relate survival durations for censored data to several pre- and post-operative patient related variables to identify risks factors. ; peer-reviewed |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
Camilleri, L., Grech, L., & Manche, A. (2021). Modeling survival durations of patients undergoing aortic valve replacement. Proceedings of the 2021 ISC Conference p.75-79.; https://www.um.edu.mt/library/oar/handle/123456789/76901 |
| Availability: |
https://www.um.edu.mt/library/oar/handle/123456789/76901 |
| Rights: |
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Accession Number: |
edsbas.7D6E4390 |
| Database: |
BASE |
