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. 2022 Feb 15;13:873. doi: 10.1038/s41467-022-28410-9

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a Weibull fits to data for plots of the Kaplan–Meier estimator falling in the top 25th percentile quality of all fits (NCT00973609, NCT00982111) b between the first and third quartile (NCT01377376, NCT00601900) and c in the lower quartile (NCT00427713, NCT01229813). d Weibull plot for patient events in all OS trials (for 237 trial arms from 116 publication figures). This is a transformation of survival data that is linear if the data follow a Weibull distribution. e Goodness of fit as the coefficient of determination (R²) explained by fitted Weibull functions for all trial arms reporting OS data (n = 237 trial arms). Boxplot center line indicates median; box limits indicate the upper and lower quartile values; whiskers span the full data set.