Bayesian test for hazard ratio in survival analysis
Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is...
| Main Authors: | , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Springer International Publishing
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870550/ |
| id |
pubmed-4870550 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-48705502016-06-21 Bayesian test for hazard ratio in survival analysis Kim, Gwangsu Lee, Seong-Whan Research Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploited methods, the proposed test is shown to be more powerful and robust in testing differences of hazard functions, in spite of the presence of crossing hazard functions. Extensive applications to simulation and real data were conducted, demonstrating that the proposed test presents outstanding performance and hold desirable properties in terms of numerical aspects. Springer International Publishing 2016-05-17 /pmc/articles/PMC4870550/ /pubmed/27330915 http://dx.doi.org/10.1186/s40064-016-2210-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Kim, Gwangsu Lee, Seong-Whan |
| spellingShingle |
Kim, Gwangsu Lee, Seong-Whan Bayesian test for hazard ratio in survival analysis |
| author_facet |
Kim, Gwangsu Lee, Seong-Whan |
| author_sort |
Kim, Gwangsu |
| title |
Bayesian test for hazard ratio in survival analysis |
| title_short |
Bayesian test for hazard ratio in survival analysis |
| title_full |
Bayesian test for hazard ratio in survival analysis |
| title_fullStr |
Bayesian test for hazard ratio in survival analysis |
| title_full_unstemmed |
Bayesian test for hazard ratio in survival analysis |
| title_sort |
bayesian test for hazard ratio in survival analysis |
| description |
Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploited methods, the proposed test is shown to be more powerful and robust in testing differences of hazard functions, in spite of the presence of crossing hazard functions. Extensive applications to simulation and real data were conducted, demonstrating that the proposed test presents outstanding performance and hold desirable properties in terms of numerical aspects. |
| publisher |
Springer International Publishing |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870550/ |
| _version_ |
1613580593562386432 |