Results 41 to 50 of about 426,709 (217)

PENERAPAN REGRESI COX PROPORTIONAL HAZARD UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI LAMA MENCARI KERJA

open access: yesE-Jurnal Matematika, 2013
Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression.
I GEDE ARI SUDANA   +2 more
doaj   +1 more source

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

open access: yes, 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

What is Cox's Proportional Hazards Model?

open access: yesSignificance, 2022
Abstract Robert Tibshirani gives an overview of one of David Cox's most widely applied ideas, for which he was awarded the International Prize in Statistics in ...
openaire   +1 more source

Geoadditive hazard regression for interval censored survival times [PDF]

open access: yes, 2005
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
core   +4 more sources

Asymptotic normality of corrected estimator in Cox proportional hazards model with measurement error

open access: yesModern Stochastics: Theory and Applications, 2014
Cox proportional hazards model is considered. In Kukush et al. (2011), Journal of Statistical Research, Vol. 45, No. 2, 77–94 simultaneous estimators $\lambda _{n}(\cdot )$ and $\beta _{n}$ of baseline hazard rate $\lambda (\cdot )$ and regression ...
C. Chimisov, A. Kukush
doaj   +1 more source

Hepatic resection for metastatic colorectal adenocarcinoma: A proposal of a prognostic scoring system [PDF]

open access: yes, 1999
Background: Hepatic resection for metastatic colorectal cancer provides excellent longterm results in a substantial proportion of patients. Although various prognostic risk factors have been identified, there has been no dependable staging or prognostic ...
Bonham, AC   +9 more
core   +1 more source

An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies

open access: yesRisk Analysis, 2018
The basic assumptions of the Cox proportional hazards regression model are rarely questioned. This study addresses whether hazard ratio, i.e., relative risk (RR), estimates using the Cox model are biased when these assumptions are violated.
S. Moolgavkar   +3 more
semanticscholar   +1 more source

Copula Based Cox Proportional Hazards Models for Dependent Censoring

open access: yesJournal of the American Statistical Association, 2023
Most existing copula models for dependent censoring in the literature assume that the parameter defining the copula is known. However, prior knowledge on this dependence parameter is often unavailable. In this article we propose a novel model under which
N. W. Deresa, I. Van Keilegom
semanticscholar   +1 more source

Confidence regions in Cox proportional hazards model with measurement errors and unbounded parameter set

open access: yesModern Stochastics: Theory and Applications, 2018
Cox proportional hazards model with measurement errors is considered. In Kukush and Chernova (2017), we elaborated a simultaneous estimator of the baseline hazard rate $\lambda (\cdot )$ and the regression parameter β, with the unbounded parameter set ...
Oksana Chernova, Alexander Kukush
doaj   +1 more source

Kaplan-Meier and Cox proportional hazards regression in survival analysis: statistical standard and guideline of Life Cycle Committee

open access: yesLife Cycle, 2023
In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper,
S. Lee
semanticscholar   +1 more source

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