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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   +7 more sources

A Bayesian network interpretation of the Cox's proportional hazard model

open access: yesInternational Journal of Approximate Reasoning, 2018
Cox’s proportional hazards (CPH) model is quite likely the most popular modeling technique in survival analysis. While the CPH model is able to represent a relationship between a collection of risks and their common effect, Bayesian networks have become ...
Marek J Drużdżel, Jidapa Kraisangka
exaly   +6 more sources

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

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

Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model

open access: yesJournal of Immunology Research, 2021
Mumps is a vaccine-preventable disease caused by the mumps virus, but the incidence of mumps has increased among the children who were vaccinated with one-dose measles-mumps-rubella (MMR) in recent years.
Zhiying Yin   +7 more
doaj   +2 more sources

Effects of Collinearity on Cox Proportional Hazard Model with Time Dependent Coefficients: A Simulation Study

open access: yesJournal 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 ...
Bayowa Teniola Babalola   +1 more
doaj   +2 more sources

Survival analysis—part 2: Cox proportional hazards model

open access: yesIndian Journal of Thoracic and Cardiovascular Surgery, 2021
Salil Deo
exaly   +2 more sources

A Study of Factors Affecting the Length of Hospital Stay of COVID-19 Patients by Cox-Proportional Hazard Model in a South Indian Tertiary Care Hospital

open access: yesJournal of Primary Care & Community Health, 2021
Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients.
G. Thiruvengadam   +2 more
semanticscholar   +1 more source

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

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   +1 more source

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

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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