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Hypertabastic survival model

A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application...

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Detalles Bibliográficos
Autores principales: Tabatabai, Mohammad A, Bursac, Zoran, Williams, David K, Singh, Karan P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2169222/
https://www.ncbi.nlm.nih.gov/pubmed/17963492
http://dx.doi.org/10.1186/1742-4682-4-40
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author Tabatabai, Mohammad A
Bursac, Zoran
Williams, David K
Singh, Karan P
author_facet Tabatabai, Mohammad A
Bursac, Zoran
Williams, David K
Singh, Karan P
author_sort Tabatabai, Mohammad A
collection PubMed
description A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic survival model by applying it to data from two motivating studies. The first one demonstrates the proportional hazards version of the model by applying it to a data set from multiple myeloma study. The second one demonstrates an accelerated failure time version of the model by applying it to data from a randomized study of glioma patients who underwent radiotherapy treatment with and without radiosensitizer misonidazole. Based on the results from the simulation study and two applications, the proposed model shows to be a flexible and promising alternative to practitioners in this field.
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spelling pubmed-21692222008-01-02 Hypertabastic survival model Tabatabai, Mohammad A Bursac, Zoran Williams, David K Singh, Karan P Theor Biol Med Model Research A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic survival model by applying it to data from two motivating studies. The first one demonstrates the proportional hazards version of the model by applying it to a data set from multiple myeloma study. The second one demonstrates an accelerated failure time version of the model by applying it to data from a randomized study of glioma patients who underwent radiotherapy treatment with and without radiosensitizer misonidazole. Based on the results from the simulation study and two applications, the proposed model shows to be a flexible and promising alternative to practitioners in this field. BioMed Central 2007-10-26 /pmc/articles/PMC2169222/ /pubmed/17963492 http://dx.doi.org/10.1186/1742-4682-4-40 Text en Copyright © 2007 Tabatabai et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tabatabai, Mohammad A
Bursac, Zoran
Williams, David K
Singh, Karan P
Hypertabastic survival model
title Hypertabastic survival model
title_full Hypertabastic survival model
title_fullStr Hypertabastic survival model
title_full_unstemmed Hypertabastic survival model
title_short Hypertabastic survival model
title_sort hypertabastic survival model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2169222/
https://www.ncbi.nlm.nih.gov/pubmed/17963492
http://dx.doi.org/10.1186/1742-4682-4-40
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