Results 31 to 40 of about 460,073 (142)
, 2018 The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D. +3 more
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Regularization for Cox's proportional hazards model with NP-dimensionality
, 2012 High throughput genetic sequencing arrays with thousands of measurements per sample and a great amount of related censored clinical data have increased demanding need for better measurement specific model selection.
Bradic, Jelena +2 more
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European Journal of Radiology OpenObjectives: To develop and validate a prediction model based on brain MRI features to predict disease-free survival (DFS) and overall survival (OS) for patients with intracranial extraventricular ependymoma (IEE). Methods: The study included 114 patients
Liyan Li +7 more
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Frontiers in Applied Mathematics and Statistics, 2023 Numerous methods and approaches have been developed for generating time-to-event data from the Cox Proportional Hazards (CPH) model; however, they often require specification of a parametric distribution for the baseline hazard even though the CPH model ...
Jennifer L. Delzeit, Devin C. Koestler
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Local partial likelihood estimation in proportional hazards regression
, 2007 Fan, Gijbels and King [Ann. Statist. 25 (1997) 1661--1690] considered the estimation of the risk function $\psi (x)$ in the proportional hazards model. Their proposed estimator is based on integrating the estimated derivative function obtained through a ...
Chen, Songnian, Zhou, Lingzhi
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Comparison of regression imputation methods of baseline covariates that predict survival outcomes
Journal of Clinical and Translational Science, 2021 Introduction: Missing data are inevitable in medical research and appropriate handling of missing data is critical for statistical estimation and making inferences.
Nicole Solomon +2 more
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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 +4 more
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joineR: Joint modelling of repeated measurements and time-to-event data [PDF]
, 2012 The joineR package implements methods for analysing data from longitudinal studies in which the response from each subject consists of a time-sequence of repeated measurements and a possibly censored time-toevent outcome.
Diggle, Peter +5 more
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
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Time to Default in Credit Scoring Using Survival Analysis [PDF]
Management and Economics Review, 2017 Credit risk assesment has been dominated by logistic and probit regression techniques. As the use of credit scoring has expanded over the past 20 years, concerns have been raised about whether its use may unfairly affect minorities. The aim of this paper
Ana Maria SANDICA, Monica DUDIAN
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