Results 41 to 50 of about 487,906 (252)

What is Cox's Proportional Hazards Model?

Significance, 2022
Abstract Robert Tibshirani gives an overview of one of David Cox's most widely applied ideas, for which he was awarded the International Prize in Statistics in ...
openaire   +1 more source

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

International 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 ...
J. Kraisangka, Marek J Druzdzel
semanticscholar   +1 more source

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

Copula Based Cox Proportional Hazards Models for Dependent Censoring

Journal of the American Statistical Association, 2023
Most existing copula models for dependent censoring in the literature assume that the parameter defining the copula is known. However, prior knowledge on this dependence parameter is often unavailable. In this article we propose a novel model under which
N. W. Deresa, I. Van Keilegom
semanticscholar   +1 more source

Adjusting for bias introduced by instrumental variable estimation in the Cox proportional hazards model. [PDF]

Biostatistics, 2017
Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably the two-stage residual inclusion (2SRI) algorithm ...
P. Martínez-Camblor, T. Mackenzie, Douglas O Staiger, P. Goodney, A. J. O’Malley   +4 more
semanticscholar   +1 more source

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
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
doaj   +1 more source

Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model

Statistics in Medicine, 2021
The Cox proportional hazards model is used extensively in clinical and epidemiological research. A key assumption of this model is that of proportional hazards.
P. Austin, Jiming Fang, Douglas S. Lee
semanticscholar   +1 more source

Aplikasi Model Proportional Hazard Cox pada Waktu Tunggu Kerja Lulusan Jurusan Matematika Fakultas MIPA Universitas Sriwijaya [PDF]

, 2014
Penelitian ini bertujuan untuk (1) menentukan nilai peluang dari waktu mendapatkan pekerjaan per-tama lulusan, (2) mengetahui bagaimana pengaruh beberapa karateristik terhadap waktu mendapatkan pe-kerjaan pertama lulusan dengan menerapkan model ...
Amran, A. (Ali), Faruk, A. (Alfensi), Nasir, N. (Nopri)   +2 more
core  

A Flexible Link Function for Discrete-Time Duration Models [PDF]

, 2014
This paper proposes a discrete-time hazard regression approach based on the relation between hazard rate models and excess over threshold models, which are frequently encountered in extreme value modelling.
Gertheiss, Jan, Hess, Wolfgang, Tutz, Gerhard   +2 more
core   +1 more source