Results 41 to 50 of about 23,378,967 (385)
FLCRM: Functional Linear Cox Regression Model [PDF]
Biometrics, 2017 SummaryWe consider a functional linear Cox regression model for characterizing the association between time-to-event data and a set of functional and scalar predictors. The functional linear Cox regression model incorporates a functional principal component analysis for modeling the functional predictors and a high-dimensional Cox regression model to ...
Dehan Kong +3 more
openaire +3 more sources
Machine Learning Predictive Models for Survival in Patients with Brain Stroke [PDF]
Health Promotion PerspectivesBackground: This study aims to harness the predictive power of machine learning (ML) algorithms for accurately predicting mortality and survival outcomes in brain stroke (BS) patients.
Solmaz Norouzi +6 more
doaj +1 more source
Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]
, 2014 This paper proposes the use of the Cox proportional hazard model (Cox PHM), a statistical model, for the analysis of early-failure data associated with power cables.
Alkali, Babakalli +7 more
core +1 more source
Rcf1 and Rcf2, Members of the Hypoxia-induced Gene 1 Protein Family, Are Critical Components of the Mitochondrial Cytochrome bc1-cytochrome Oxidase Supercomplex [PDF]
, 2012 We report that Rcf1 (formerly Aim31), a member of the conserved hypoxia-induced gene 1 (Hig1) protein family, represents a novel component of the yeast cytochrome bc1-cytochrome c oxidase (COX) supercomplex.
Furness, Andrew +4 more
core +2 more sources
Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data
Hydrology Research, 2018 Several Markov modulated Poisson process (MMPP) models are developed to describe winter season rainfall with parsimonious parameter use. We propose a methodology for determining the best form of seasonal model for fine-scale rainfall within a MMPP ...
Andrew P. Garthwaite, N. I. Ramesh
doaj +1 more source
Semiparametric Inference for the Functional Cox Model
Journal of the American Statistical Association, 2020 This article studies penalized semiparametric maximum partial likelihood estimation and hypothesis testing for the functional Cox model in analyzing right-censored data with both functional and scalar predictors.
Meiling Hao +3 more
semanticscholar +1 more source
Validation of a Cox prognostic model for tooth autotransplantation
Clinical and Experimental Dental Research, 2023 Objectives This study aimed to validate our Cox proportional hazards prognostic model for autotransplantation of teeth with complete root formation using prognostic index (PI) and determine whether the prognosis can be predicted. Patients and Methods The
Toshiya Yoshino +6 more
doaj +1 more source
Dr. Sulaiman Al Habib Medical Journal, 2021 Under-five mortality is a substantial indicator of children's health, well-being, and consequently, socioeconomic development of a country. The primary focus of this study was to estimate the prevalence and identify the factors associated with under-5 ...
Ashis Talukder +4 more
doaj +1 more source
Analysis of overfitting in the regularized Cox model [PDF]
Journal of Physics A: Mathematical and Theoretical, 2019 The Cox proportional hazards model is ubiquitous in the analysis of time-to-event data. However, when the data dimension p is comparable to the sample size N, maximum likelihood estimates for its regression parameters are known to be biased or break ...
M. Sheikh, A. Coolen
semanticscholar +1 more source
Phase transitions for the Boolean model of continuum percolation for Cox point processes [PDF]
, 2020 We consider the Boolean model with random radii based on Cox point processes. Under a condition of stabilization for the random environment, we establish existence and non-existence of subcritical regimes for the size of the cluster at the origin in ...
Cali, Elie +2 more
core +3 more sources