Semiparametric regression analysis of clustered survival data with semi-competing risks
Analysis of semi-competing risks data is becoming increasingly important in medical research in which a subject may experience both nonterminal and terminal events, and the time to the intermediate nonterminal event (e.g. onset of a disease) is subject to dependent censoring by the terminal event (e...
Saved in:
Main Authors: | Peng, Mengjiao, Xiang, Liming, Wang, Shanshan |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/90231 http://hdl.handle.net/10220/48475 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data
by: Peng, Mengjiao, et al.
Published: (2022) -
Analysis of complex survival data subject to semi-competing risks
by: Peng, Mengjiao
Published: (2019) -
Analysis of clustered binary data with unequal cluster sizes: A semiparametric bayesian approach
by: Nott, D.J., et al.
Published: (2014) -
Estimation and model selection in a class of semiparametric models for cluster data
by: Sun, Y., et al.
Published: (2014) -
Frailty modelling approaches for semi-competing risks data
by: Ha, Il Do, et al.
Published: (2020)