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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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 |
format | Online Article Text |
id | pubmed-7426529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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