Results 141 to 150 of about 1,576,634 (357)

Relative Survival Analysis Using Bayesian Decision Tree Ensembles [PDF]

arXiv
In cancer epidemiology, the \emph{relative survival framework} is used to quantify the hazard associated with cancer by comparing the all-cause mortality hazard in cancer patients to that of the general population. This framework assumes that an individual's hazard function is the sum of a known population hazard and an excess hazard associated with ...
arxiv  

Computing extended maximum likelihood estimates for Cox proportional-hazards models [PDF]

, 2000
Douglas B. Clarkson, Robert I. Jennrich
openalex   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Sure Joint Screening for High Dimensional Cox's Proportional Hazards Model Under the Case-Cohort Design. [PDF]

J Comput Biol, 2023
Liu Y, Li G.
europepmc   +1 more source

Orderings of the finite mixture with modified proportional hazard rate model [PDF]

arXiv
In this paper, we consider finite mixture models with modified proportional hazard rates. Sufficient conditions for the usual stochastic order and the hazard order are established under chain majorization. We study stochastic comparisons under different settings of T-transform for various values of chain majorization.
arxiv  

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

The Singularity of the Efficiency Bound of the Mixed Proportional Hazard Model [PDF]

, 2001
Geert Ridder, Tiemen Woutersen
openalex   +1 more source

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

A transformer model for cause-specific hazard prediction

BMC Bioinformatics
Backgroud Modelling discrete-time cause-specific hazards in the presence of competing events and non-proportional hazards is a challenging task in many domains.
Matthieu Oliver, Nicolas Allou, Marjolaine Devineau, Jèrôme Allyn, Cyril Ferdynus   +4 more
doaj   +1 more source

Prognostic analysis of breast cancer in Xinjiang based on Cox proportional hazards model and two-step cluster method. [PDF]

Front Oncol, 2022
Wu M, Zhao T, Zhang Q, Zhang T, Wang L, Sun G.   +5 more
europepmc   +1 more source