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Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo

In a bid to assess the contribution of prognostic factors to survival times of breast cancer patients from day of presentation in Nigeria, a data was collected from Ladoke Akintola University of Technology Teaching Hospital Osogbo. This is a retrospective data culled from the case note files of the...

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Autores principales: Awodutire, Phillip Oluwatobi, Kolawole, Oladapo Adedayo, Ilori, Oluwatosin Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426529/
https://www.ncbi.nlm.nih.gov/pubmed/32817870
http://dx.doi.org/10.1016/j.dib.2020.106109
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author Awodutire, Phillip Oluwatobi
Kolawole, Oladapo Adedayo
Ilori, Oluwatosin Ruth
author_facet Awodutire, Phillip Oluwatobi
Kolawole, Oladapo Adedayo
Ilori, Oluwatosin Ruth
author_sort Awodutire, Phillip Oluwatobi
collection PubMed
description In a bid to assess the contribution of prognostic factors to survival times of breast cancer patients from day of presentation in Nigeria, a data was collected from Ladoke Akintola University of Technology Teaching Hospital Osogbo. This is a retrospective data culled from the case note files of the breast cancer patients. The survival time of the patients was recorded as the difference between the day of presentation and the day of last contact. The data is censored at 1 year. The prognostic factors considered are years of breastfeeding(In years), Age at menarche, stage at presentation, neoadjuvant treatment offered and use of contraceptives. Four survival models were applied to the data to assess the contribution of the prognostic factors to survival times
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spelling pubmed-74265292020-08-16 Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo Awodutire, Phillip Oluwatobi Kolawole, Oladapo Adedayo Ilori, Oluwatosin Ruth Data Brief Mathematics In a bid to assess the contribution of prognostic factors to survival times of breast cancer patients from day of presentation in Nigeria, a data was collected from Ladoke Akintola University of Technology Teaching Hospital Osogbo. This is a retrospective data culled from the case note files of the breast cancer patients. The survival time of the patients was recorded as the difference between the day of presentation and the day of last contact. The data is censored at 1 year. The prognostic factors considered are years of breastfeeding(In years), Age at menarche, stage at presentation, neoadjuvant treatment offered and use of contraceptives. Four survival models were applied to the data to assess the contribution of the prognostic factors to survival times Elsevier 2020-08-01 /pmc/articles/PMC7426529/ /pubmed/32817870 http://dx.doi.org/10.1016/j.dib.2020.106109 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Mathematics
Awodutire, Phillip Oluwatobi
Kolawole, Oladapo Adedayo
Ilori, Oluwatosin Ruth
Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title_full Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title_fullStr Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title_full_unstemmed Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title_short Data on the survival times of breast cancer patients in a Teaching Hospital, Osogbo
title_sort data on the survival times of breast cancer patients in a teaching hospital, osogbo
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426529/
https://www.ncbi.nlm.nih.gov/pubmed/32817870
http://dx.doi.org/10.1016/j.dib.2020.106109
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