Search results for "Hazards"

Sparse kernel methods for high-dimensional survival data

2008

Abstract Sparse kernel methods like support vector machines (SVM) have been applied with great success to classification and (standard) regression settings. Existing support vector classification and regression techniques however are not suitable for partly censored survival data, which are typically analysed using Cox's proportional hazards model. As the partial likelihood of the proportional hazards model only depends on the covariates through inner products, it can be ‘kernelized’. The kernelized proportional hazards model however yields a solution that is dense, i.e. the solution depends on all observations. One of the key features of an SVM is that it yields a sparse solution, dependin…

Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry.

2013

For determining a manageable set of covariates potentially influential with respect to a time-to-event endpoint, Cox proportional hazards models can be combined with variable selection techniques, such as stepwise forward selection or backward elimination based on p-values, or regularized regression techniques such as component-wise boosting. Cox regression models have also been adapted for dealing with more complex event patterns, for example, for competing risks settings with separate, cause-specific hazard models for each event type, or for determining the prognostic effect pattern of a variable over different landmark times, with one conditional survival model for each landmark. Motivat…

On statistical inference for the random set generated Cox process with set-marking.

2007

Cox point process is a process class for hierarchical modelling of systems of non-interacting points in ℝd under environmental heterogeneity which is modelled through a random intensity function. In this work a class of Cox processes is suggested where the random intensity is generated by a random closed set. Such heterogeneity appears for example in forestry where silvicultural treatments like harvesting and site-preparation create geometrical patterns for tree density variation in two different phases. In this paper the second order property, important both in data analysis and in the context of spatial sampling, is derived. The usefulness of the random set generated Cox process is highly…

Comment on ‘Generating survival times to simulate Cox proportional hazards models with time-varying covariates’

2013

Segmented relationships to model erosion of regression effect in Cox regression

2010

In this article we propose a parsimonious parameterisation to model the so-called erosion of the covariate effect in the Cox model, namely a covariate effect approaching to zero as the follow-up time increases. The proposed parameterisation is based on the segmented relationship where proper constraints are set to accomodate for the erosion. Relevant hypothesis testing is discussed. The approach is illustrated on two historical datasets in the survival analysis literature, and some simulation studies are presented to show how the proposed framework leads to a test for a global effect with good power as compared with alternative procedures. Finally, possible generalisations are also present…

A comparison of semiparametric approaches to evaluate composite endpoints in heart failure trials

2021

In heart failure trials efficacy is usually proven by a composite endpoint including cardiovascular death (CVD) and recurrent heart failure hospitalisations (HFH), evaluated with time-to-first-event analysis based on a Cox model. As a considerable fraction of events is ignored that way, recurrent event[for full text, please go to the a.m. URL]

Comparison of Prognostic Signatures in Node-Negative Tamoxifen-Treated Breast Cancer Patients.

2009

Abstract Background: A number of molecular signatures have been published to aid breast cancer prognosis and therapy response prediction. A 76-gene signature has been developed in a node-negative patient cohort that did not receive systemic therapy.1 Another prognostic 97-gene signature measures predominantly proliferation-associated genes.2 Finally, a 21-gene signature has been developed for node-negative and estrogen receptor–positive breast cancer patients treated with tamoxifen in the adjuvant setting.3 Here we compare the prognostic performance of all three published algorithms in a cohort of 189 node-negative breast cancer patients treated with tamoxifen.Materials and Methods: Fresh-f…

Integration of SAR Data Into Monitoring of the 2014–2015 Holuhraun Eruption, Iceland: Contribution of the Icelandic Volcanoes Supersite and the Futur…

2018

We report how data from satellite and aerial synthetic aperture radar (SAR) observations were integrated into monitoring of the 2014–2015 Holuhraun eruption in the Bárðarbunga volcanic system, the largest effusive eruption in Iceland since the 1783–84 Laki eruption. A lava field formed in one of the most remote areas in Iceland, after the propagation of a ∼50 km-long dyke beneath the Vatnajökull ice cap, where the Bárðarbunga caldera is located. Due to the 6 month duration of the eruption, mainly in wintertime, daily monitoring was particularly challenging. During the eruption, the European volcanological project FutureVolc was ongoing, allowing collaboration of many European experts on vol…

Joint associations of accelerometer-measured physical activity and sedentary time with all-cause mortality: a harmonised meta-analysis in more than 4…

2020

Funder: National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care East Midlands

Patients' sex and emotional support as predictors of death and clinical deterioration in the Waiting for a New Heart Study: results from the 1-year f…

2011

Context—Little is known about the role of patient's sex and emotional support in the prognosis of heart transplant candidates.Objective—To examine patient's sex and emotional support as predictors of outcomes in the Waiting for a New Heart Study.Design, Setting, and Participants—The Waiting for a New Heart Study is a prospective observational study of 318 patients (18% female) newly added to the waiting list for a heart transplant. Demographic, medical, psychosocial characteristics (including social support [ENRICHD Social Support Index; high vs low support]) were assessed at the time of wait-listing.Main Outcomes—Time until death/delisting due to deteriorated health, considering competing …