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Regularization Method For Predicting An Ordinal Response Using Longitudinal High-dimensional Genomic Data

Jiayi Hou, Kellie J. Archer

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AbstractAn ordinal scale is commonly used to measure health status and disease related outcomes in hospital settings as well as in translational medical research. In addition, repeated measurements are common in clinical practice for tracking and monitoring the progression of complex diseases. Classical methodology based on statistical inference, in particular, ordinal modeling has contributed to the analysis of data in which the response categories are ordered and the number of covariates (