scholarly journals Variable selection in joint frailty models of recurrent and terminal events

Biometrics ◽  
2020 ◽  
Vol 76 (4) ◽  
pp. 1330-1339
Author(s):  
Dongxiao Han ◽  
Xiaogang Su ◽  
Liuquan Sun ◽  
Zhou Zhang ◽  
Lei Liu
Keyword(s):  
Variable Selection ◽  
Frailty Models ◽  
Terminal Events

scholarly journals Variable selection in subdistribution hazard frailty models with competing risks data

2014 ◽  
Vol 33 (26) ◽  
pp. 4590-4604 ◽  
Author(s):  
Il Do Ha ◽  
Minjung Lee ◽  
Seungyoung Oh ◽  
Jong-Hyeon Jeong ◽  
Richard Sylvester ◽  
...  
Keyword(s):  
Variable Selection ◽  
Competing Risks ◽  
Frailty Models ◽  
Subdistribution Hazard ◽  
Competing Risks Data

Variable Selection in General Frailty Models Using Penalized H-Likelihood

2014 ◽  
Vol 23 (4) ◽  
pp. 1044-1060 ◽  
Author(s):  
Il Do Ha ◽  
Jianxin Pan ◽  
Seungyoung Oh ◽  
Youngjo Lee
Keyword(s):  
Variable Selection ◽  
Frailty Models

scholarly journals Variable Selection in Frailty Models using FrailtyHL R Package: Breast Cancer Survival Data

2015 ◽  
Vol 28 (5) ◽  
pp. 965-976 ◽  
Author(s):  
Bohyeon Kim ◽  
Il Do Ha ◽  
Maengseok Noh ◽  
Myung Hwan Na ◽  
Ho-Chun Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Variable Selection ◽  
Survival Data ◽  
Cancer Survival ◽  
R Package ◽  
Breast Cancer Survival ◽  
Frailty Models ◽  
Cancer Survival Data

Estimation and variable selection via frailty models with penalized likelihood

2012 ◽  
Vol 31 (20) ◽  
pp. 2223-2239 ◽  
Author(s):  
E. Androulakis ◽  
C. Koukouvinos ◽  
F. Vonta
Keyword(s):  
Variable Selection ◽  
Penalized Likelihood ◽  
Frailty Models

Joint nested frailty models for clustered recurrent and terminal events: An application to colonoscopy screening visits and colorectal cancer risks in Lynch Syndrome families

2019 ◽  
Vol 29 (5) ◽  
pp. 1466-1479 ◽  
Author(s):  
Yun-Hee Choi ◽  
Helene Jacqmin-Gadda ◽  
Agnieszka Król ◽  
Patrick Parfrey ◽  
Laurent Briollais ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lynch Syndrome ◽  
Frailty Model ◽  
Frailty Models ◽  
Terminal Event ◽  
Cancer Risks ◽  
Her Family ◽  
Colonoscopy Screening ◽  
Terminal Events ◽  
Screening History

Joint models for recurrent and terminal events have not been yet developed for clustered data. The goals of our study are to develop a statistical framework for modelling clustered recurrent and terminal events and to perform dynamic predictions of the terminal event in family studies. We propose a joint nested frailty model for colonoscopy screening visits and colorectal cancer onset in Lynch Syndrome families. The screening and disease processes could each depend on individuals' screening history and other measured covariates and be correlated within families; our approach allows for familial correlations to affect both the visit process and the terminal event and the dependence between the two processes is specified through frailty distributions. We provide dynamic predictions of colorectal cancer risk for an individual conditional on his/her own screening history, his/her family history of screening and disease and other important clinical covariates. We apply our model to 18 Lynch Syndrome families from Newfoundland for individualized dynamic predictions of colorectal cancer risks. We demonstrate that the screening visits are non-ignorable for estimating the disease risks, and the joint nested frailty model improves dynamic prediction accuracies compared to existing joint frailty models after accounting for familial and individual screening and cancer histories.

Polarity and Variable Selection Heuristics for SAT-Based Anytime MaxSAT

2020 ◽  
Vol 12 (1) ◽  
pp. 17-22
Author(s):  
Alexander Nadel
Keyword(s):  
Variable Selection ◽  
Open Source ◽  
System Description

This paper is a system description of the anytime MaxSAT solver TT-Open-WBO-Inc, which won both of the weighted incomplete tracks of MaxSAT Evaluation 2019. We implemented the recently introduced polarity and variable selection heuristics, TORC and TSB, respectively, in the Open-WBO-Inc-BMO algorithm within the open-source anytime MaxSAT solver Open-WBO-Inc. As a result, the solver is substantially more efficient.

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