Results 21 to 30 of about 14,803,607 (247)
Partial Orders with Respect to Continuous Covariates and Tests for the Proportional Hazards Model [PDF]
, 2008 Several omnibus tests of the proportional hazards assumption have been proposed in the literature. In the two-sample case, tests have also been developed against ordered alternatives like monotone hazard ratio and monotone ratio of cumulative hazards ...
Bhattacharjee, Arnab +1 more
core +1 more source
Frontiers in Applied Mathematics and Statistics, 2023 Numerous methods and approaches have been developed for generating time-to-event data from the Cox Proportional Hazards (CPH) model; however, they often require specification of a parametric distribution for the baseline hazard even though the CPH model ...
Jennifer L. Delzeit, Devin C. Koestler
doaj +1 more source
A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Thomas Kneib +4 more
core +1 more source
Flexible Boosting of Accelerated Failure Time Models [PDF]
, 2008 When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to apply semiparametric least squares techniques.
Torsten Hothorn +5 more
core +1 more source
Implementation of complex interactions in a Cox regression framework [PDF]
, 2003 The standard Cox proportional hazards model has been extended by functionally describable interaction terms. The first of which are related to neural networks by adopting the idea of transforming sums of weighted covariables by means of a logistic ...
Müller, Martina, Müller, M., Ulm, Kurt
core +1 more source
Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
, 2003 Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Lenz-Tönjes, Rebecca +7 more
core +1 more source
Comparison of radiomic feature aggregation methods for patients with multiple tumors
Scientific Reports, 2021 Radiomic feature analysis has been shown to be effective at analyzing diagnostic images to model cancer outcomes. It has not yet been established how to best combine radiomic features in cancer patients with multifocal tumors.
Enoch Chang +7 more
doaj +1 more source
BMC Research Notes, 2017 Background Uganda just like any other Sub-Saharan African country, has a high under-five child mortality rate. To inform policy on intervention strategies, sound statistical methods are required to critically identify factors strongly associated with ...
Justine B. Nasejje, Henry Mwambi
doaj +1 more source
Testing proportional hazards for specified covariates
Modern Stochastics: Theory and Applications, 2019 Tests for proportional hazards assumption concerning specified covariates or groups of covariates are proposed. The class of alternatives is wide: log-hazard rates under different values of covariates may cross, approach, go away.
Vilijandas Bagdonavičius +1 more
doaj +1 more source
BMC 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