Results 41 to 50 of about 1,821,882 (341)

Quasi-linear Cox proportional hazards model with cross- L1 penalty

BMC Medical Research Methodology, 2020
Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics.
Katsuhiro Omae, Shinto Eguchi
doaj   +1 more source

Density Regression Based on Proportional Hazards Family

Entropy, 2015
This paper develops a class of density regression models based on proportional hazards family, namely, Gamma transformation proportional hazard (Gt-PH) model . Exact inference for the regression parameters and hazard ratio is derived.
Wei Dang, Keming Yu
doaj   +1 more source

An exact corrected log-likelihood function for Cox's proportional hazards model under measurement error and some extensions [PDF]

, 2002
This paper studies Cox`s proportional hazards model under covariate measurement error. Nakamura`s (1990) methodology of corrected log-likelihood will be applied to the so called Breslow likelihood, which is, in the absence of measurement error ...
Augustin, Thomas
core   +1 more source

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

BMC 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

Why test for proportional hazards—or any other model assumptions? [PDF]

American Journal of Epidemiology
Arvid Sjölander, Paul W Dickman, Sjölander Arvid   +2 more
exaly   +2 more sources

icenReg: Regression Models for Interval Censored Data in R

Journal 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

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

, 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., Lee, Sokbae, Sokbae (Simon) Lee
core   +1 more source

Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]

, 2002
This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Joel L. Horowitz, Horowitz, Joel, Horowitz, J., Lee, S., Lee, Sokbae, Sokbae (Simon) Lee   +5 more
core   +1 more source

Proportional hazards assumption.

, 2022
Proportional hazards assumption.
Hailegebrael Birhan Biresaw (13162434), Demeke Lakew Workie (13989550), Nuru Mohammed Hussen (13989547)   +2 more
core   +1 more source

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

E3S 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, Pang Jingni, Chen Jinghao, Huang Yangzhi   +3 more
doaj   +1 more source