Dataset: Challenges of Bayesian modelling approaches for network meta-analysis of time-to-event outcomes to aid decision making: application to a melanoma network

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Authors: Suzanne C Freeman, Nicola J. Cooper, Alex J. Sutton, Michael J. Crowther, James Robert Carpenter, Neil Hawkins
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Abstract

This dataset contains the individual participant data analysed in the paper: Freeman SC, Cooper NJ, Sutton AJ, Crowther MJ, Carpenter JR, Hawkins N. Challenges of Bayesian modelling approaches for network meta-analysis of time-to-event outcomes to aid decision making: application to a melanoma network. Statistical Methods in Medical Research 2022; 31(5): 839-861, DOI: https://doi.org/10.1177/09622802211070253 This dataset was created by extracting data from published Kaplan-Meier plots of overall survival using WebPlotDigitizer and the Guyot algorithm. Please see the paper for more details.

Fields of Study & Subjects

Meta-analysis and systematic reviews Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN