Results 41 to 50 of about 1,569,089 (229)
Regression Models for Lifetime Data: An Overview
Stats, 2022 Two methods dominate the regression analysis of time-to-event data: the accelerated failure time model and the proportional hazards model. Broadly speaking, these predominate in reliability modelling and biomedical applications, respectively.
Chrys Caroni
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A New Approach to Proportional Hazards Modeling for Estimating Customer Lifetime Value [PDF]
arXiv, 2022 Estimating customer lifetime value (CLV or LTV) is extremely important for making better business decisions. The proposed flexible proportional hazards model allows an estimation of lifetime value in contractual settings. This approach takes advantage of a churn model, which is assumed to be available.
arxiv
Model-based Prediction of Length of Stay for Rehabilitating Stroke Patients
Journal of the Formosan Medical Association, 2009 Accurate length-of-stay (LOS) estimates have an impact on medical costs for stroke patients. Most studies have reported only descriptive sample means or have provided linear-model-based estimates for LOS.
Chien-Lin Lin +6 more
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Associations among apolipoproteins, oxidized high-density lipoprotein and cardiovascular events in patients on hemodialysis. [PDF]
PLoS ONE, 2017 Apolipoproteins are associated with survival among patients on hemodialysis (HD), but these associations might be influenced by dysfunctional (oxidized) high-density lipoprotein (HDL).
Hirokazu Honda +12 more
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Coach Turnover in Top Professional Brazilian Football Championship: A Multilevel Survival Analysis
Frontiers in Psychology, 2019 In this study, we examined the probability of coaches’ survival in the top Brazilian professional football championship considering variation across the competitive seasons between 2012 and 2017, considering a multilevel framework.
Alexandre B. Tozetto +7 more
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A simulation study of the estimation quality in the double-Cox model with shared frailty for non-proportional hazards survival analysis [PDF]
arXiv, 2022 The Cox regression, a semi-parametric method of survival analysis, is extremely popular in biomedical applications. The proportional hazards assumption is a key requirement in the Cox model. To accommodate non-proportional hazards, we propose to parameterise the shape parameter of the baseline hazard function using the additional, separate Cox ...
arxiv
, 2016 Covariate measurement error has attracted extensive interest in survival analysis. Since Prentice, a large number of inference methods have been developed to handle error-prone data that are modulated with proportional hazards models.
Ying Yan, G. Yi
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Conditional Akaike information under generalized linear and proportional hazards mixed models.
Biometrika, 2011 We study model selection for clustered data, when the focus is on cluster specific inference. Such data are often modelled using random effects, and conditional Akaike information was proposed in Vaida & Blanchard (2005) and used to derive an information
Michael C. Donohue +3 more
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Scientific 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
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Frontiers in Medicine, 2023 ObjectiveComplications associated with hypertension can be alleviated by providing necessary medical services. However, there may be disparities in their provision depending on regional differences.
Choa Yun +10 more
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