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Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies [PDF]

open access: yesMethodsX, 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
Md. Jamal Uddin   +2 more
doaj   +2 more sources

The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model [PDF]

open access: yesFrontiers in Public Health, 2021
An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values.
Chao-Yu Guo   +4 more
doaj   +2 more sources

MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP [PDF]

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   +2 more sources

Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]

open access: yesStatistics in Medicine, 2003
This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas   +2 more
core   +6 more sources

Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]

open access: yesIEEE Transactions on Power Delivery, 2014
This paper proposes the use of the Cox proportional hazard model (Cox PHM), a statistical model, for the analysis of early-failure data associated with power cables.
Alkali, Babakalli   +7 more
core   +3 more sources

Survival analysis—part 2: Cox proportional hazards model

open access: yesIndian Journal of Thoracic and Cardiovascular Surgery, 2021
Learning objectives: 1. To understand the log-rank test and limitations of the log-rank test in comparing survival between groups. 2. To understand the fundamental concepts of the proportional hazards assumption. 3. To understand basic steps in the development of the Cox proportional hazards model and reported hazard ratios. 4.
Salil Deo
exaly   +4 more sources

The Impact of Violation of the Proportional Hazards Assumption on the Calibration of the Cox Proportional Hazards Model

open access: yesEpidemiology, Biostatistics and Public Health
INTRODUCTION The Cox proportional hazards regression model is frequently used to develop clinical prediction models for time-to-event outcomes, allowing clinicians to estimate an individual’s risk of experiencing the outcome within specified time ...
Peter Austin, Daniele Giardiello
doaj   +3 more sources

Modeling of Distance Learners’ Retention Using Mixed-Model on Non-Proportional Hazard

open access: yesJournal 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

Tree-augmented Cox proportional hazards models [PDF]

open access: yesBiostatistics, 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

Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method

open access: yesJurnal 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

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