Results 31 to 40 of about 14,848,273 (189)

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   +1 more
core   +1 more source

Cox-proportional hazard model for post-procedure mortality.

open access: yes, 2023
Cox-proportional hazard model for post-procedure mortality.
Ching-Hu Chung (1690051)   +3 more
core   +1 more source

FAKTOR-FAKTOR YANG MEMPENGARUHI DAYA TAHAN MAHASISWA TEKNIK SIPIL UIB DALAM MEMPERTAHANKAN STUDINYA

open access: yesE-Jurnal Matematika, 2021
Linear regression model cannot be used to analyze the relationship between survival time and independent variables, it is because the linear regression model is not able to handle censored data.
MAHFUZ HUDORI
doaj   +1 more source

A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model

open access: yesScientific Reports, 2022
There have been few investigations of cancer prognosis models based on Bayesian hierarchical models. In this study, we used a novel Bayesian method to screen mRNAs and estimate the effects of mRNAs on the prognosis of patients with lung adenocarcinoma ...
Na Sun   +5 more
semanticscholar   +1 more source

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

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.
Thomas Kneib, Kneib, Thomas
core   +1 more source

Violations of proportional hazard assumption in Cox regression model of transcriptomic data in TCGA pan-cancer cohorts

open access: yesComputational and Structural Biotechnology Journal, 2022
Background: Cox proportional hazard regression (CPH) model relies on the proportional hazard (PH) assumption: the hazard of variables is independent of time. CPH has been widely used to identify prognostic markers of the transcriptome.
Zihang Zeng   +7 more
doaj   +1 more source

Predictors of time to relapse in amphetamine-type substance users in the matrix treatment program in Iran: a Cox proportional hazard model application

open access: yesBMC Psychiatry, 2016
BackgroundThe aim of this study was to determine which predictors influence the risk of relapse among a cohort of amphetamine-type substance (ATS) users in Iran.MethodsA Cox proportional hazards model was conducted to determine factors associated with ...
M. Moeeni   +5 more
semanticscholar   +1 more source

Predictive maintenance using cox proportional hazard deep learning

open access: yesAdvanced Engineering Informatics, 2020
Predictive maintenance (PdM) has become prevalent in the industry in order to reduce maintenance cost and to achieve sustainable operational management.
C. Chen   +6 more
semanticscholar   +1 more source

MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP

open access: yesMedia Statistika, 2013
A lot of events occured in daily life are connected with survival time, for example a time interval that measure the failure of a product, time duration which is needed to recover from disease, the back pain recurred after treatment.
Tuan Hanni, Triastuti Wuryandari
doaj   +1 more source

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