Results 11 to 20 of about 304,906 (294)

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

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

The impact of violation of the proportional hazards assumption on the discrimination of the Cox proportional hazards model [PDF]

open access: yesDiagnostic and Prognostic Research
Background 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.
Peter C. Austin, Daniele Giardiello
doaj   +2 more sources

Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models

open access: yesClinical 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

Gradient lasso for Cox proportional hazards model [PDF]

open access: yesBioinformatics, 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

Estimation in a Cox Proportional Hazards Cure Model [PDF]

open access: yesBiometrics, 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

Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-Period-Cohort Effects on Cancer Survival

open access: yesCancer Informatics, 2011
In the frame of the Cox proportional hazard (PH) model, a novel two-step procedure for estimating age-period-cohort (APC) effects on the hazard function of death from cancer was developed. In the first step, the procedure estimates the influence of joint
Tengiz Mdzinarishvili   +3 more
doaj   +2 more sources

Survival time prediction by integrating cox proportional hazards network and distribution function network

open access: yesBMC Bioinformatics, 2021
Background The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest.
Eu-Tteum Baek   +6 more
doaj   +1 more source

Stepwise cox regression analysis in SPSS

open access: yesCancer Research, Statistics, and Treatment, 2018
This article is a beginners' guide for performing Cox regression analysis in SPSS. The article provides practical steps toward performing Cox analysis and interpreting the output of SPSS for Cox regression analysis.
Sampada Dessai, Vijai Simha, Vijay Patil
doaj   +1 more source

ANALISIS LAJU KESEMBUHAN PASIEN DEMAM BERDARAH DENGUE DENGAN MENGGUNAKAN MODEL REGRESI COX PROPORTIONAL HAZARD

open access: yesJurnal Matematika UNAND, 2020
Demam Berdarah Dengue (DBD) merupakan salah satu penyakit berbahaya dan bisa meyebabkan kematian. Untuk mengurangi angka kematian akibat demam berdarah dengue, maka penelitian ini akan memodelkan waktu survival dengan studi kasus pada pasien demam ...
FITRI AULIA   +2 more
doaj   +1 more source

Survival analysis in clinical trials: Basics and must know areas

open access: yesPerspectives in Clinical Research, 2011
Many clinical trials involve following patients for a long time. The primary event of interest in those studies is death, relapse, adverse drug reaction or development of a new disease.
Ritesh Singh, Keshab Mukhopadhyay
doaj   +1 more source

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