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A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups
The data presented in this article are related to the research article entitled “Measuring differential treatment benefit across marker specific subgroups: the choice of outcome scale” (Satagopan and Iasonos, 2015) [1]. These data were digitally reconstructed from figures published in Larkin et al....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435579/ https://www.ncbi.nlm.nih.gov/pubmed/28560273 http://dx.doi.org/10.1016/j.dib.2017.05.005 |
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author | Satagopan, Jaya M. Iasonos, Alexia Kanik, Joseph G. |
author_facet | Satagopan, Jaya M. Iasonos, Alexia Kanik, Joseph G. |
author_sort | Satagopan, Jaya M. |
collection | PubMed |
description | The data presented in this article are related to the research article entitled “Measuring differential treatment benefit across marker specific subgroups: the choice of outcome scale” (Satagopan and Iasonos, 2015) [1]. These data were digitally reconstructed from figures published in Larkin et al. (2015) [2]. This article describes the steps to digitally reconstruct patient-level data on time-to-event outcome and treatment and biomarker groups using published Kaplan-Meier survival curves. The reconstructed data set and the corresponding computer programs are made publicly available to enable further statistical methodology research. |
format | Online Article Text |
id | pubmed-5435579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54355792017-05-30 A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups Satagopan, Jaya M. Iasonos, Alexia Kanik, Joseph G. Data Brief Data Article The data presented in this article are related to the research article entitled “Measuring differential treatment benefit across marker specific subgroups: the choice of outcome scale” (Satagopan and Iasonos, 2015) [1]. These data were digitally reconstructed from figures published in Larkin et al. (2015) [2]. This article describes the steps to digitally reconstruct patient-level data on time-to-event outcome and treatment and biomarker groups using published Kaplan-Meier survival curves. The reconstructed data set and the corresponding computer programs are made publicly available to enable further statistical methodology research. Elsevier 2017-05-05 /pmc/articles/PMC5435579/ /pubmed/28560273 http://dx.doi.org/10.1016/j.dib.2017.05.005 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Satagopan, Jaya M. Iasonos, Alexia Kanik, Joseph G. A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title | A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title_full | A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title_fullStr | A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title_full_unstemmed | A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title_short | A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
title_sort | reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435579/ https://www.ncbi.nlm.nih.gov/pubmed/28560273 http://dx.doi.org/10.1016/j.dib.2017.05.005 |
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