Results 11 to 20 of about 487,906 (252)
Journal of Biostatistics and Epidemiology, 2020 Background: The Cox proportional hazard model has gained ground in Biostatistics and other related fields. It has been extended to capture different scenarios, part of which are violation of the proportionality of the hazards, presence of time dependent ...
B. Babalola, Babatunde W Yahya
semanticscholar +3 more sources
Model Regresi Cox Proporsional Hazard Pada Data Ketahanan Hidup [PDF]
Media 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.
Hanni, T. (Tuan) +1 more
core +3 more sources
Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies. [PDF]
MethodsX, 2023 The instrumental variable (IV) method with a Cox proportional hazard (PH) model has been used to evaluate treatment effects in epidemiological studies involving survival data. The effectiveness of the IV methods in these circumstances has yet to be fully
Uddin MJ, Ahammed T, Kabir AZMH.
europepmc +2 more sources
Tree-augmented Cox proportional hazards models [PDF]
Biostatistics, 2005 We study a hybrid model that combines Cox proportional hazards regression with tree-structured modeling. The main idea is to use step functions, provided by a tree structure, to 'augment' Cox (1972) proportional hazards models. The proposed model not only provides a natural assessment of the adequacy of the Cox proportional hazards model but also ...
Su, Xiaogang, Tsai, Chih Ling
openaire +4 more sources
Modeling of Distance Learners’ Retention Using Mixed-Model on Non-Proportional Hazard
Journal of Open, Flexible and Distance Learning, 2023 Universitas Terbuka is a public university in Indonesia that implements an open-distance education system. The quality and success of higher education in Indonesia are indicated by the gross enrolment rate (GER).
Dewi Juliah Ratnaningsih
doaj +3 more sources
Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
Jurnal Ilmu Keuangan dan Perbankan, 2022 The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile ...
Vitri Aprilla Handayani* +3 more
doaj +1 more source
The impact of violation of the proportional hazards assumption on the discrimination of the Cox proportional hazards model. [PDF]
Diagn Progn ResBackground The Cox proportional hazards regression model is frequently used to estimate an individual’s probability of experiencing an outcome within a specified prediction horizon. A key assumption of this model is that of proportional hazards.
Austin PC, Giardiello D.
europepmc +2 more sources
Gradient lasso for Cox proportional hazards model [PDF]
Bioinformatics, 2009 AbstractMotivation: There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model,
Insuk, Sohn +3 more
openaire +2 more sources
Clinical and Translational Science, 2022 This study aimed to develop a model for predicting the completion of clinical trials involving pregnant women using the Cox proportional hazard model and neural network model (DeepSurv) and to compare the predictive performance of both methods.
Bomee Kim +6 more
doaj +1 more source
Estimation in a Cox Proportional Hazards Cure Model [PDF]
Biometrics, 2000 Summary.Some failure time data come from a population that consists of some subjects who are susceptible to and others who are nonsusceptible to the event of interest. The data typically have heavy censoring at the end of the follow‐up period, and a standard survival analysis would not always be appropriate.
Sy, Judy P., Taylor, Jeremy M. G.
openaire +4 more sources