Complete hazard ranking to analyze right-censored data: An ALS survival study

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Affiliates	Zhengnan Huang [1], Hongjiu Zhang [1], Jonathan Boss [2], Stephen A. Goutman [3], Bhramar Mukherjee [2], Ivo D. Dinov [4,5,6], Yuanfang Guan [1,7,8], for the Pooled Resource Open-Access ALS Clinical Trials Consortium [1] Department of Computational Medicine and Bioinformatics, University of Michigan [2] Department of Biostatistics, University of Michigan [3] Department of Neurology, University of Michigan [4] Department of Health Behavior and Biological Sciences, University of Michigan [5] Statistics Online Computational Resource, University of Michigan [6] Michigan Institute for Data Science, University of Michigan [7] Department of Internal Medicine, University of Michigan [8] Department of Electronic Engineering and Computer Science, University of Michigan
Journal	PLoS Computational Biology
Summary	This paper presents a novel statistical analysis method for estimating ALS survival outcomes.
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Page last reviewed: July 14, 2021