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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....

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Detalles Bibliográficos
Autores principales: Satagopan, Jaya M., Iasonos, Alexia, Kanik, Joseph G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
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.
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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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