Results 21 to 30 of about 203,215 (259)

Testing and interpreting assumptions of COX regression analysis

Cancer Research, Statistics, and Treatment, 2019
The COX regression analysis is like any statistical test that is based on multiple assumptions. This is a guide for how to test the assumptions and how to interpret the results.
Sampada Dessai, Vijay Patil
doaj   +1 more source

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

E-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
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The trend of change in cervical tumor size and time to death of hospitalized patients in northwestern Ethiopia during 2018–2022: Retrospective study design

Health Science Reports, 2023
Background and Aims Cervical cancer is the fourth most common cause of cancer‐related death in the world. The objective of this study was to determine factors that affect the longitudinal change of tumor size and the time to death of outpat Methods A ...
Aragaw E. Aguade, Chalachew Gashu, Tigist Jegnaw   +2 more
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Effects of Collinearity on Cox Proportional Hazard Model with Time Dependent Coefficients: A Simulation Study

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 ...
Bayowa Teniola Babalola, Babatunde W Yahya   +1 more
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PENERAPAN REGRESI COX PROPORTIONAL HAZARD UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI LAMA MENCARI KERJA

E-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, NI LUH PUTU SUCIPTAWATI, LUH PUTU IDA HARINI   +2 more
doaj   +1 more source

An Application of the Cox-Aalen Model for Breast Cancer Survival

Austrian Journal of Statistics, 2016
Semiparametric hazard function regression models are among the well studied risk models in survival analysis. The Cox proportional hazards model has been a popular choice in modelling data from epidemiological settings.
Ileana Baldi, Giovannino Ciccone, Antonio Ponti, Stefano Rosso, Roberto Zanetti, Dario Gregori   +5 more
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Violations of proportional hazard assumption in Cox regression model of transcriptomic data in TCGA pan-cancer cohorts

Computational 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, Yanping Gao, Jiali Li, Gong Zhang, Shaoxing Sun, Qiuji Wu, Yan Gong, Conghua Xie   +7 more
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Survival analysis of Kasturi tobacco plants in Jember district using the stratified cox and extended cox models.

MethodsX
In 2022, tobacco was the top export commodity, generating $106.3 million in sales. East Java Province contributes significantly to Indonesia's tobacco production, with an annual output of 188.6 thousand tons.
Angga Iryanto Pratama, Dwi Rantini, Ratih Ardiati Ningrum, Arip Ramadan, Fazidah Othman   +4 more
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An Estimated Analysis of Willingness to Wait Time to Pay Rice Agricultural Insurance Premiums Using Cox’s Proportional Hazards Model

Mathematics, 2022
In this paper, we determined the factors that affect the waiting time of rice farmers’ willingness to pay the premium for the Rice Farming Insurance Program (RFIP) using survival analysis.
Yuyun Hidayat, Sukono, Betty Subartini, Nida Khairunnisa, Aceng Sambas, Titi Purwandari   +5 more
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Hazard Analysis of Weather Conditions on Distribution Transformer Failures via Cox Proportional Hazard Model

IEEE Access
As the operational years of power facilities increase, the importance of accurately assessing the remaining lifespan or risk of failures of distribution transformers for the stable power supply has also grown.
Cheonkyu Park, Chongeun Cho, Do-In Kim
doaj   +1 more source