Results 11 to 20 of about 476,100 (264)

Are competing risks models appropriate to describe implant failure?

Acta Orthopaedica, 2018
Background and purpose — The use of competing risks models is widely advocated in the arthroplasty literature due to a perceived bias in comparison of simple Kaplan–Meier estimates.
Adrian Sayers, Jonathan T Evans, Michael R Whitehouse, Ashley W Blom   +3 more
doaj   +2 more sources

A model for predicting both breast cancer risk and non-breast cancer death among women > 55 years old

Breast Cancer Research, 2023
Background Guidelines recommend shared decision making (SDM) for mammography screening for women ≥ 75 and not screening women with  55 years who completed the 2004 Nurses’ Health Study (NHS) questionnaire, we developed (in 2/3 of the cohort, n = 55,533 ...
Mara A. Schonberg, Emily A. Wolfson, A. Heather Eliassen, Kimberly A. Bertrand, Yurii B. Shvetsov, Bernard A. Rosner, Julie R. Palmer, Long H. Ngo   +7 more
doaj   +1 more source

Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme

Alexandria Engineering Journal, 2022
Time-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other ...
Tahani.A. Abushal, A.A. Soliman, G.A. Abd-Elmougod   +2 more
doaj   +1 more source

Using competing risks model and competing events in outcome of pulmonary tuberculosis patients

International Journal of Mycobacteriology, 2016
Introduction: Although tuberculosis (TB) is curable, the rate of failure and mortality is high in comparison to other infectious diseases worldwide. It has been shown that majority of TB patients leave treatment before completing the therapeutic regimen.
Mehdi Kazempour Dizaji, Anoshirvan Kazemnejad, Payam Tabarsi, Farid Zayeri   +3 more
doaj   +1 more source

Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments

BMC Medical Research Methodology, 2017
Background To illustrate the 10-year risks of urinary adverse events (UAEs) among men diagnosed with prostate cancer and treated with different types of therapy, accounting for the competing risk of death.
Charlotte A. Bolch, Haitao Chu, Stephanie Jarosek, Stephen R. Cole, Sean Elliott, Beth Virnig   +5 more
doaj   +1 more source

Understanding competing risks: a simulation point of view

BMC Medical Research Methodology, 2011
Background Competing risks methodology allows for an event-specific analysis of the single components of composite time-to-event endpoints. A key feature of competing risks is that there are as many hazards as there are competing risks.
Wanner Christoph, Schumacher Martin, Allignol Arthur, Drechsler Christiane, Beyersmann Jan   +4 more
doaj   +1 more source

Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function

Statistical Theory and Related Fields, 2018
In this paper, we consider the statistical analysis for the dependent competing risks model in the constant stress accelerated life testing with Type-II progressive censoring. It is focused on two competing risks from Lomax distribution.
Xuchao Bai, Yimin Shi, Yiming Liu, Bin Liu   +3 more
doaj   +1 more source

Competing risks to breast cancer mortality in Catalonia

BMC Cancer, 2008
Background Breast cancer mortality has experienced important changes over the last century. Breast cancer occurs in the presence of other competing risks which can influence breast cancer incidence and mortality trends. The aim of the present work is: 1)
Espinàs Josep-Alfons, Pla Roger, Carles Misericòrdia, Martínez-Alonso Montserrat, Gispert Rosa, Vilaprinyo Ester, Rué Montserrat   +6 more
doaj   +1 more source

Weighted Competing Risks Quantile Regression Models and Variable Selection

Mathematics, 2023
The proportional subdistribution hazards (PSH) model is popularly used to deal with competing risks data. Censored quantile regression provides an important supplement as well as variable selection methods due to large numbers of irrelevant covariates in
Erqian Li, Jianxin Pan, Manlai Tang, Keming Yu, Wolfgang Karl Härdle, Xiaowen Dai, Maozai Tian   +6 more
doaj   +1 more source

Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data

Studies in Logic, Grammar and Rhetoric, 2013
The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation.
Krętowska Małgorzata
doaj   +1 more source