Results 11 to 20 of about 426,709 (217)

A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model [PDF]

open access: yesScientific Reports, 2022
There have been few investigations of cancer prognosis models based on Bayesian hierarchical models. In this study, we used a novel Bayesian method to screen mRNAs and estimate the effects of mRNAs on the prognosis of patients with lung adenocarcinoma ...
Na Sun   +5 more
doaj   +3 more sources

Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study [PDF]

open access: yesBMJ Open, 2020
Objectives This study explored the prognostic factors and developed a prediction model for Chinese-American (CA) cervical cancer (CC) patients. We compared two alternative models (the restricted mean survival time (RMST) model and the proportional ...
Lixian Li   +3 more
doaj   +3 more sources

Gradient lasso for Cox proportional hazards model [PDF]

open access: yesBioinformatics, 2009
AbstractMotivation: There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model,
Insuk, Sohn   +3 more
openaire   +3 more sources

Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model [PDF]

open access: yesRMD Open, 2019
Objectives To identify potentially modifiable factors that mediate the association between symptomatic osteoarthritis (OA) and premature mortality.Methods A population-based prospective cohort study; primary care medical record data were linked to self ...
George Peat   +7 more
doaj   +2 more sources

Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model [PDF]

open access: yesBiostatistics, 2017
Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably the two-stage residual inclusion (2SRI) procedure ...
Goodney, Philip P.   +4 more
core   +2 more sources

Data generation for the Cox proportional hazards model with time-dependent covariates: A method for medical researchers [PDF]

open access: yesStatistics in Medicine, 2013
The proliferation of longitudinal studies has increased the importance of statistical methods for time-to-event data that can incorporate time-dependent covariates. The Cox proportional hazards model is one such method that is widely used.
Hendry, David J.
core   +2 more sources

Fitting the Cox proportional hazards model to big data. [PDF]

open access: yesBiometrics
AbstractThe semiparametric Cox proportional hazards model, together with the partial likelihood principle, has been widely used to study the effects of potentially time-dependent covariates on a possibly censored event time. We propose a computationally efficient method for fitting the Cox model to big data involving millions of study subjects ...
Wang J, Zeng D, Lin DY.
europepmc   +3 more sources

Adaptive Lasso for Cox's proportional hazards model [PDF]

open access: yesBiometrika, 2007
SUMMARY We investigate the variable selection problem for Cox's proportional hazards model, and propose a unified model selection and estimation procedure with desired theoretical properties and computational convenience. The new method is based on a penalized log partial likelihood with the adaptively weighted L1 penalty on regression coefficients ...
Hao Helen Zhang, Wenbin Lu
openaire   +3 more sources

Variable Selection for Cox's proportional Hazards Model and Frailty Model

open access: yesThe Annals of Statistics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan, Jianqing, Li, Runze
openaire   +3 more sources

A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival. [PDF]

open access: yesPLoS ONE, 2012
Prognostic models are often used to estimate the length of patient survival. The Cox proportional hazards model has traditionally been applied to assess the accuracy of prognostic models.
Branko Miladinovic   +5 more
doaj   +2 more sources

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