Joint modeling of parametric additive-multiplicative hazards model and longitudinal data
碩士 === 國立中央大學 === 統計研究所 === 105 === Joint modeling approaches offer a solution to analyzing both survival and longitudinal processes simultaneously. The existing approaches focus mostly on developing adaptive and flexible longitudinal processes based on a preselected survival model, most commonly th...
Main Authors: | Jiun-Rong Wang, 王畯嶸 |
---|---|
Other Authors: | 曾議寬 |
Format: | Others |
Language: | en_US |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/b8m3rp |
Similar Items
-
Joint Modeling of Additive-Multiplicative Hazard Model and Longitudinal Data
by: Yong-Dong Hsu, et al.
Published: (2016) -
Joint model of parametric extended hazard and longitudinal data
by: Ming-chun Wu, et al.
Published: (2014) -
Parametric joint modelling for longitudinal and survival data
by: Pericleous, Paraskevi
Published: (2016) -
Joint modelling of additive-multiplicative model with longitudinal covariates
by: Yi-Ting Yang, et al.
Published: (2018) -
Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM
by: Cong Xu, et al.
Published: (2020-04-01)