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Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent [PDF]

open access: yesJournal of Statistical Software, 2011
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l1 and l2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
Noah Simon   +3 more
doaj   +1 more source

Interval-Censored Regression with Non-Proportional Hazards with Applications

open access: yesStats, 2023
Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera   +4 more
doaj   +1 more source

Identification of a competing risks model with unknown transformations of latent failure times [PDF]

open access: yes, 2005
This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Lee, S.
core   +8 more sources

Application of random survival forests in understanding the determinants of under-five child mortality in Uganda in the presence of covariates that satisfy the proportional and non-proportional hazards assumption

open access: yesBMC Research Notes, 2017
Background Uganda just like any other Sub-Saharan African country, has a high under-five child mortality rate. To inform policy on intervention strategies, sound statistical methods are required to critically identify factors strongly associated with ...
Justine B. Nasejje, Henry Mwambi
doaj   +1 more source

Two-Level Proportional Hazards Models [PDF]

open access: yesBiometrics, 2002
We extend the proportional hazards model to a two-level model with a random intercept term and random coefficients. The parameters in the multilevel model are estimated by a combination of EM and Newton-Raphson algorithms. Even for samples of 50 groups, this method produces estimators of the fixed effects coefficients that are approximately unbiased ...
Maples, Jerry J.   +2 more
openaire   +4 more sources

Partial Orders with Respect to Continuous Covariates and Tests for the Proportional Hazards Model [PDF]

open access: yes, 2008
Several omnibus tests of the proportional hazards assumption have been proposed in the literature. In the two-sample case, tests have also been developed against ordered alternatives like monotone hazard ratio and monotone ratio of cumulative hazards ...
Bhattacharjee, Arnab
core   +3 more sources

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

Does the Tax Cuts Policy Lower Firm Survival Risk? Evidence from China [PDF]

open access: yesE3S Web of Conferences, 2023
This paper examines the effect of tax cuts policy on firm survival risk. We analyze a panel data of China’s listed companies over the period 20082021 based on two different techniques: Kaplan-Meier survival estimator and the Cox proportional hazards ...
Wang Hong   +3 more
doaj   +1 more source

Statistical estimation in the proportional hazards model with risk set sampling [PDF]

open access: yes, 2004
Thomas' partial likelihood estimator of regression parameters is widely used in the analysis of nested case-control data with Cox's model. This paper proposes a new estimator of the regression parameters, which is consistent and asymptotically normal ...
Chen, Kani
core   +2 more sources

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