Assessing frailty survival models in describing variations caused by unobserved covariates
© 2017, Chiang Mai University. All rights reserved. The classical Cox proportional hazards model is commonly used to assess the effects of risk factors in a homogeneous population. Quite often, variation among individuals towards risk beyond known important risk factors may lead to unobserved covari...
Saved in:
Main Authors: | Walaithip Bunyatisai, Sukon Prasitwattanaseree, Lily Ingsrisawang |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85023754640&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46375 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Assessing frailty survival models in describing variations caused by unobserved covariates
by: Walaithip Bunyatisai, et al.
Published: (2018) -
Assessing Frailty Survival Models in Describing Variations Caused by Unobserved Covariates
by: Walaithip Bunyatisai, et al.
Published: (2019) -
Assessing frailty survival models in describing variations caused by unobserved covariates
by: Bunyatisai W., et al.
Published: (2017) -
Regression analysis of survival data with covariates subject to censoring
by: Yu, Tonghui
Published: (2018) -
Quantile regression for survival data with covariates subject to detection limits
by: Yu, Tonghui, et al.
Published: (2021)