Profiles of prognostic alternative splicing signature in hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2020 at "Cancer Medicine"
DOI: 10.1002/cam4.2875
Abstract: Previous studies have demonstrated the role of abnormal alternative splicing (AS) in tumor progression. This study examines the prognostic index (PI) of alternative splices (ASs) in patients with hepatocellular carcinoma (HCC). The clinical features and… read more here.
Keywords: hepatocellular carcinoma; analysis; patients hcc; cox regression ... See more keywords
Unified estimation for Cox regression model with nonmonotone missing at random covariates
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9512
Abstract: This article investigates a unified estimator for Cox regression model (Cox, 1972) when covariate data are missing at random (Rubin, 1976). It extends the idea of using parametric working models (Zhao and Liu, 2021) to… read more here.
Keywords: cox regression; regression model; cox; unified estimator ... See more keywords
Tumor-infiltrating B cell is associated with the control of progression of gastric cancer.
Sign Up to like & getrecommendations! Published in 2020 at "Immunologic research"
DOI: 10.1007/s12026-020-09167-z
Abstract: This study aimed to further explore the clinicopathological correlation of B cell infiltration in gastric cancer (GC) and its impact on prognostic. By immunohistochemical method, CD20+ B cells, CD3+ T cells, CD66b+ tumor-associated neutrophils, CD163+… read more here.
Keywords: gastric cancer; infiltration; cox regression; cell infiltration ... See more keywords
Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2018.01.019
Abstract: BACKGROUND Death by suicide is a preventable public health concern worldwide. The aim of this study is to investigate the probability of suicide death using baseline characteristics and simple medical facility visit history data using… read more here.
Keywords: death; study; cox regression; death using ... See more keywords
Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab095
Abstract: MOTIVATION The prediction performance of Cox proportional hazard model suffers when there are only few uncensored events in the training data. RESULTS We propose a Sparse-Group regularized Cox regression method to improve the prediction performance… read more here.
Keywords: response; group regularized; survival; cox regression ... See more keywords
Prognostic factors for squamous cervical carcinoma identified by competing-risks analysis: A study based on the SEER database
Sign Up to like & getrecommendations! Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000030901
Abstract: Cervical cancer has a high incidence of malignant tumors and a high mortality rate, with squamous cervical carcinoma (SCC) accounting for 80% of cases. A competing-risks model is recommended as being more feasible for evaluating… read more here.
Keywords: regression analysis; prognostic factors; cox regression; analysis ... See more keywords
Foreboding lncRNA markers of low-grade gliomas dependent on metabolism
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DOI: 10.1097/md.0000000000031302
Abstract: At present, there is no systematic study on the signature of long-chain noncoding RNAs (lncRNAs) involved in metabolism that can fully predict the prognosis in patients with low-grade gliomas (LGGs). Therefore, consistent metabolic-related lncRNA signatures… read more here.
Keywords: metabolism; cox regression; grade gliomas; risk ... See more keywords
Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database
Sign Up to like & getrecommendations! Published in 2023 at "Medicine"
DOI: 10.1097/md.0000000000033144
Abstract: Prediction of postoperative survival for laryngeal carcinoma patients is very important. This study attempts to demonstrate the utilization of the random survival forest (RSF) and Cox regression model to predict overall survival of laryngeal squamous… read more here.
Keywords: cox regression; cox; survival; model ... See more keywords
Predictive Models for Recurrent Membranous Nephropathy After Kidney Transplantation
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DOI: 10.1097/txd.0000000000001357
Abstract: Background. Recurrent membranous nephropathy (MN) posttransplantation affects 35% to 50% of kidney transplant recipients (KTRs) and accounts for 50% allograft loss 5 y after diagnosis. Predictive factors for recurrent MN may include HLA-D risk alleles,… read more here.
Keywords: cox regression; hla; penalized cox; membranous nephropathy ... See more keywords
Cox regression with dependent error in covariates.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12741
Abstract: Many survival studies have error-contaminated covariates due to the lack of a gold standard of measurement. Furthermore, the error distribution can depend on the true covariates but the structure may be difficult to characterize; heteroscedasticity… read more here.
Keywords: regression; error; cox regression; dependent error ... See more keywords
FLCRM: Functional linear cox regression model.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12748
Abstract: We consider a functional linear Cox regression model for characterizing the association between time-to-event data and a set of functional and scalar predictors. The functional linear Cox regression model incorporates a functional principal component analysis… read more here.
Keywords: regression model; functional linear; cox regression;