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The Survival Kit: Software to analyze survival data including possibly correlated random effects
The Survival Kit is a Fortran 90 Software intended for survival analysis using proportional hazards models and their extension to frailty models with a single response time. The hazard function is described as the product of a baseline hazard function and a positive (exponential) function of possibl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Scientific Publishers
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693034/ https://www.ncbi.nlm.nih.gov/pubmed/23399103 http://dx.doi.org/10.1016/j.cmpb.2013.01.010 |
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author | Mészáros, G. Sölkner, J. Ducrocq, V. |
author_facet | Mészáros, G. Sölkner, J. Ducrocq, V. |
author_sort | Mészáros, G. |
collection | PubMed |
description | The Survival Kit is a Fortran 90 Software intended for survival analysis using proportional hazards models and their extension to frailty models with a single response time. The hazard function is described as the product of a baseline hazard function and a positive (exponential) function of possibly time-dependent fixed and random covariates. Stratified Cox, grouped data and Weibull models can be used. Random effects can be either log-gamma or normally distributed and can account for a pedigree structure. Variance parameters are estimated in a Bayesian context. It is possible to account for the correlated nature of two random effects either by specifying a known correlation coefficient or estimating it from the data. An R interface of the Survival Kit provides a user friendly way to run the software. |
format | Online Article Text |
id | pubmed-3693034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier Scientific Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-36930342013-06-26 The Survival Kit: Software to analyze survival data including possibly correlated random effects Mészáros, G. Sölkner, J. Ducrocq, V. Comput Methods Programs Biomed Article The Survival Kit is a Fortran 90 Software intended for survival analysis using proportional hazards models and their extension to frailty models with a single response time. The hazard function is described as the product of a baseline hazard function and a positive (exponential) function of possibly time-dependent fixed and random covariates. Stratified Cox, grouped data and Weibull models can be used. Random effects can be either log-gamma or normally distributed and can account for a pedigree structure. Variance parameters are estimated in a Bayesian context. It is possible to account for the correlated nature of two random effects either by specifying a known correlation coefficient or estimating it from the data. An R interface of the Survival Kit provides a user friendly way to run the software. Elsevier Scientific Publishers 2013-06 /pmc/articles/PMC3693034/ /pubmed/23399103 http://dx.doi.org/10.1016/j.cmpb.2013.01.010 Text en © 2013 Elsevier Ireland Ltd. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license |
spellingShingle | Article Mészáros, G. Sölkner, J. Ducrocq, V. The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title | The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title_full | The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title_fullStr | The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title_full_unstemmed | The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title_short | The Survival Kit: Software to analyze survival data including possibly correlated random effects |
title_sort | survival kit: software to analyze survival data including possibly correlated random effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693034/ https://www.ncbi.nlm.nih.gov/pubmed/23399103 http://dx.doi.org/10.1016/j.cmpb.2013.01.010 |
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