Results 41 to 50 of about 851,409 (271)

An exact corrected log-likelihood function for Cox's proportional hazards model under measurement error and some extensions [PDF]

, 2002
This paper studies Cox`s proportional hazards model under covariate measurement error. Nakamura`s (1990) methodology of corrected log-likelihood will be applied to the so called Breslow likelihood, which is, in the absence of measurement error ...
Augustin, Thomas
core   +1 more source

Staphylococcus Aureus Bacteriuria as a Predictor of In-Hospital Mortality in Patients with Staphylococcus Aureus Bacteremia. Results of a Retrospective Cohort Study [PDF]

, 2020
Staphylococcus aureus bloodstream infection (SA-BSI) is an infection with increasing morbidity and mortality. Concomitant Staphylococcus aureus bacteriuria (SABU) frequently occurs in patients with SA-BSI.
Behnke, Michael, Gastmeier, Petra, Gruhl, Désirée, Kramer, Tobias Siegfried, Leistner, Rasmus, Schlosser, Beate, Schwab, Frank   +6 more
core   +1 more source

On Fair Performance Comparison between Random Survival Forest and Cox Regression: An Example of Colorectal Cancer Study

SciMedicine Journal, 2021
Random Forest (RF), a mostly model-free and robust machine learning method, has been successfully applied to right-censored survival data, under the name of Random Survival Forest (RSF).
Sirin Cetin, Ayse Ulgen, Isa Dede, Wentian Li   +3 more
doaj   +1 more source

Partially linear censored quantile regression [PDF]

, 2009
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore, JL Powell, K Doksum, L Peng, L Tian, M Buchinsky, R Koenker, R Koenker, R Koenker, RJ Gray, S Portnoy, Stephen Portnoy, T Neocleous, Tereza Neocleous, V Chernozhukov, X He, X He, X He   +17 more
core   +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

MODEL REGRESI COX UNTUK MENGANALISIS PENGARUH FAKTOR ASUPAN MAKANAN TERHADAP RISIKO KEKAMBUHAN ENDOMETRIOSIS

Barekeng, 2021
This research purpose is to analyze the relationship between food intake factors (fruit, soy, milk, caffeine, red meat, garlic, ginger, seafood, cheese, green tea, brown rice, wheat, potatoes, bean sprouts, mustard greens, soft drinks and alcohol) on ...
Ning Eliyati, Sri Indra Maiyanti, Oki Dwipurwani, Shaly Wanda Hamidah   +3 more
doaj   +1 more source

A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature [PDF]

, 2019
Within five to ten years after radical prostatectomy (RP), approximately 15-34% of prostate cancer (PCa) patients experience biochemical recurrence (BCR), which is defined as recurrence of serum levels of prostate-specific antigen >0.2 µg/L, indicating ...
Erbersdobler, Andreas, Fendler, Annika, Jung, Klaus, Jung, Monika, Kilic, Ergin, Lein, Michael, Stephan, Carsten, Weickmann, Sabine, Zhao, Zhongwei   +8 more
core   +2 more sources

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

High-Dimensional Cox Regression Analysis in Genetic Studies with Censored Survival Outcomes

Journal of Probability and Statistics, 2012
With the advancement of high-throughput technologies, nowadays high-dimensional genomic and proteomic data are easy to obtain and have become ever increasingly important in unveiling the complex etiology of many diseases. While relating a large number of
Jinfeng Xu
doaj   +1 more source

Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge

, 2018
This paper develops a new scalable sparse Cox regression tool for sparse high-dimensional massive sample size (sHDMSS) survival data. The method is a local $L_0$-penalized Cox regression via repeatedly performing reweighted $L_2$-penalized Cox regression.
Kawaguchi, Eric S., Li, Gang, Liu, Zhenqiu, Suchard, Marc A.   +3 more
core   +1 more source