Results 81 to 90 of about 1,821,882 (341)

Cox proportional hazards regression model.

open access: yes, 2014
Cox proportional hazards regression model (n = 309 episodes in 1117 patients).Cox proportional hazards regression model.
Juan Wang (115708)   +10 more
core   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Are non-constant rates and non-proportional treatment effects accounted for in the design and analysis of randomised controlled trials? A review of current practice

open access: yesBMC Medical Research Methodology, 2019
Background Most clinical trials with time-to-event primary outcomes are designed assuming constant event rates and proportional hazards over time. Non-constant event rates and non-proportional hazards are seen increasingly frequently in trials.
Kim Jachno   +2 more
doaj   +1 more source

Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

open access: yesJournal of Translational Medicine, 2021
Background The successful identification of breast cancer (BRCA) prognostic biomarkers is essential for the strategic interference of BRCA patients.
Lingyu Li, Zhi-Ping Liu
doaj   +1 more source

Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated

open access: yesBMC Medical Research Methodology, 2016
BackgroundMost randomized controlled trials with a time-to-event outcome are designed assuming proportional hazards (PH) of the treatment effect. The sample size calculation is based on a logrank test.
P. Royston, M. Parmar
semanticscholar   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

open access: yesFEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto   +3 more
wiley   +1 more source

Data‐driven framework for warranty claims forecasting with an application for automotive components

open access: yesEngineering Reports
Automakers spend billions of dollars annually towards warranty costs, and warranty reduction is typically high on their priorities. An accurate understanding of warranty performance plays a critical role in controlling and steering the business, and it ...
Mohammad Babakmehr   +6 more
doaj   +1 more source

Predictive capability of proportional hazards regression. [PDF]

open access: yesProceedings of the National Academy of Sciences, 1994
A measure of the predictive capability of a proportional hazards regression is derived. The measure is based on the residuals appropriate to proportional hazards regression. A population version is presented and can be seen not to depend on the censoring mechanism under the provision that any such censoring be independent or conditionally independent ...
O'Quigley, John, Flandre, Philippe
openaire   +3 more sources

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

open access: yesFEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas   +6 more
wiley   +1 more source

Weighted Cox Regression Using the R Package coxphw

open access: yesJournal of Statistical Software, 2018
Cox's regression model for the analysis of survival data relies on the proportional hazards assumption. However, this assumption is often violated in practice and as a consequence the average relative risk may be under- or overestimated.
Daniela Dunkler   +3 more
doaj   +1 more source

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