Application of LASSO regression in estimating B-Spline-Based hazard functions

碩士 === 國立政治大學 === 統計學系 === 105 === A strong assumption in the Cox proportional hazards model requires linearity of the covariates on the log hazard function. However, this assumption may be violated in practice. Alternatively, it is feasible to model the nonlinear effect via a combination of B-splin...

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Bibliographic Details
Main Authors: Lin, Zi-Yuan, 林子元
Other Authors: Huang, Tzee-Ming
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/v47b98