Results 71 to 80 of about 355,313 (330)

Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model.

PLoS ONE
BackgroundIn recent years, remarkable progress has been made in the use of machine learning, especially in analyzing prognosis survival data. Traditional prediction models cannot identify interrelationships between factors, and the predictive accuracy is
Huan Zhang, Shan Zhao, Pengzhong Lv
doaj   +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

A semi-parametric regression model for analysis of middle censored lifetime data

Statistica, 2016
Middle censoring introduced by Jammalamadaka and Mangalam (2003), refers to data arising in situations where the exact lifetime becomes unobservable if it falls within a random censoring interval, otherwise it is observable.
Sreenivasa Rao Jammalamadaka, Sundaresan Nair Prasad, Paduthol Godan Sankaran   +2 more
doaj   +1 more source

Attributable Risk Function in the Proportional Hazards Model [PDF]

, 2005
As an epidemiological parameter, the population attributable fraction is an important measure to quantify the public health attributable risk of an exposure to morbidity and mortality.
Chen, Ying Qing, Hu, Chengcheng, Wang, Yan   +2 more
core   +1 more source

Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model

, 2015
Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems.
Hanson, Timothy, Jara, Alejandro, Zhang, Jiajia, Zhou, Haiming   +3 more
core   +1 more source

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

Asymptotic normality of corrected estimator in Cox proportional hazards model with measurement error

Modern Stochastics: Theory and Applications, 2014
Cox proportional hazards model is considered. In Kukush et al. (2011), Journal of Statistical Research, Vol. 45, No. 2, 77–94 simultaneous estimators $\lambda _{n}(\cdot )$ and $\beta _{n}$ of baseline hazard rate $\lambda (\cdot )$ and regression ...
C. Chimisov, A. Kukush
doaj   +1 more source

Survival analysis of DNA mutation motifs with penalized proportional hazards

, 2018
Antibodies, an essential part of our immune system, develop through an intricate process to bind a wide array of pathogens. This process involves randomly mutating DNA sequences encoding these antibodies to find variants with improved binding, though ...
Feng, Jean, Matsen IV, Frederick A., Minin, Vladimir N., Shaw, David A., Simon, Noah   +4 more
core   +2 more sources

An approach to trial design and analysis in the era of non-proportional hazards of the treatment effect [PDF]

, 2014
Background: Most randomized controlled trials with a time-to-event outcome are designed and analysed under the proportional hazards assumption, with a target hazard ratio for the treatment effect in mind. However, the hazards may be non-proportional.
D Stark, DR Cox, FMS Barthel, FMS Barthel, KS Thomas, M Schemper, Mahesh KB Parmar, P Royston, P Royston, P Royston, Patrick Royston, PK Andersen, PM Grambsch, TS Mok, WP McGuire   +14 more
core   +2 more sources

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