Results 71 to 80 of about 14,848,273 (189)

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
doaj   +1 more source

Limitations of using COX proportional hazards model in cardiovascular research

Cardiovascular Diabetology
The article by Zhao et al. titled “Associations of Triglyceride-Glucose (TyG) Index with Chest Pain Incidence and Mortality among the U.S. Population” provides valuable insights into the positive correlation between the TyG index and chest pain incidence,
Nan Jiang, Yong Wu, Chengjia Li
semanticscholar   +1 more source

Result of multivariable Cox proportional hazard model.

, 2023
Full table of results from the multivariable Cox proportional hazard model from Fig 1A with all covariates. (TXT)
Johanne Ahrenfeldt (3165513), Judit Kisistók (14573633), Ditte S. Christensen (14573627), Nicolai J. Birkbak (14573639), Andreas B. Østergaard (14573630), Mateo Sokač (14573636)   +5 more
core   +1 more source

Standard errors for the cox proportional hazards cure model

Mathematical and Computer Modelling, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sy, J. P., Taylor, J. M. G.
openaire   +1 more source

A Simple Test for the Absence of Covariate Dependence in Hazard Regression Models [PDF]

, 2004
This paper extends commonly used tests for equality of hazard rates in a two-sample or k-sample setup to a situation where the covariate under study is continuous.
Bhattacharjee, Arnab, Bhattacharjee, A., Bhattacharjee, A.; id_orcid, Bhattacharjee, Arnab; id_orcid   +3 more
core  

Generalized log-logistic proportional hazard model with applications in survival analysis

Journal of Statistical Distributions and Applications, 2016
Proportional hazard (PH) models can be formulated with or without assuming a probability distribution for survival times. The former assumption leads to parametric models, whereas the latter leads to the semi-parametric Cox model which is by far the most
Shahedul A. Khan, Saima K. Khosa
semanticscholar   +1 more source

Hazard regression model and cure rate model in colon cancer relative survival trends: are they telling the same story?

, 2008
Hazard regression models and cure rate models can be advantageously used in cancer relative survival analysis. We explored the advantages and limits of these two models in colon cancer and focused on the prognostic impact of the year of diagnosis on ...
Launoy, G., Jooste, Valérie, Jooste, V., Bouvier, Anne-Marie, Bouvier, A.-M., Belot, Aurelien, Belot, A., Remontet, Laurent, Launoy, Guy, Bejan-Angoulvant, Theodora, Remontet, L., Bejan-Angoulvant, T., Bossard, Nadine   +12 more
core   +1 more source

Goodness-of-fit tests in the Cox proportional hazards model

Communications in Statistics - Simulation and Computation, 2019
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards (PH) model and compare their performance.
Marike Cockeran, Simos G. Meintanis, James S. Allison   +2 more
openaire   +5 more sources

Application of Proportional Hazard and Additive Models in the Survival Analysis of Breast Cancer Patients

JTAM (Jurnal Teori dan Aplikasi Matematika)
Breast cancer is the most common type of cancer among women and one of the highest causes of death among other types of cancer. This study aims to evaluate the methodological advantages of additive hazard models over the multiplicative Cox model in ...
Muhammad Bayu Nirwana, Tiara Fitri Adani, Kayla Argya Puruhita, Andreas Rony Wijaya, Hasih Pratiwi, Silvina Rosita Yulianti   +5 more
doaj   +1 more source

An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies

Risk Analysis, 2018
The basic assumptions of the Cox proportional hazards regression model are rarely questioned. This study addresses whether hazard ratio, i.e., relative risk (RR), estimates using the Cox model are biased when these assumptions are violated.
S. Moolgavkar, E. T. Chang, Heather Watson, Edmund C. Lau   +3 more
semanticscholar   +1 more source