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Subgroup analysis in the heterogeneous Cox model
Statistics in Medicine, 2020In the analysis of censored survival data, to avoid a biased inference of treatment effects on the hazard function of the survival time, it is important to consider the treatment heterogeneity.
Xiangbin Hu +4 more
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Bioinform., 2020
MOTIVATION Accurately predicting the risk of cancer patients is a central challenge for clinical cancer research. For high-dimensional gene expression data, Cox proportional hazard model with the least absolute shrinkage and selection operator for ...
Wei Wang, Wei Liu
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MOTIVATION Accurately predicting the risk of cancer patients is a central challenge for clinical cancer research. For high-dimensional gene expression data, Cox proportional hazard model with the least absolute shrinkage and selection operator for ...
Wei Wang, Wei Liu
semanticscholar +1 more source
Random effects Cox models: A Poisson modelling approach [PDF]
Biometrika, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Renjun Ma +2 more
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Scandinavian Journal of Statistics, 2000
The purpose of this paper is to consider the problem of statistical inference about a hazard rate function that is specified as the product of a parametric regression part and a non‐parametric baseline hazard. Unlike Cox's proportional hazard model, the baseline hazard not only depends on the duration variable, but also on the starting date of the ...
Pons, O., Visser, M.
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The purpose of this paper is to consider the problem of statistical inference about a hazard rate function that is specified as the product of a parametric regression part and a non‐parametric baseline hazard. Unlike Cox's proportional hazard model, the baseline hazard not only depends on the duration variable, but also on the starting date of the ...
Pons, O., Visser, M.
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Diagnostic Plots in Cox's Regression Model
Biometrics, 1991Two diagnostic plots are presented for validating the fitting of a Cox proportional hazards model. The added variable plot is developed to assess the effect of adding a covariate to the model. The constructed variable plot is applied to detect nonlinearity of a fitted covariate. Both plots are also useful for identifying influential observations on the
Chen, Chen-Hsin, Wang, P. C.
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Weighted functional linear Cox regression model
Statistical Methods in Medical Research, 2021The aim of this paper is to develop a weighted functional linear Cox regression model that accounts for the association between a failure time and a set of functional and scalar covariates. We formulate the weighted functional linear Cox regression by incorporating a comprehensive three-stage estimation procedure as a unified methodology. Specifically,
Hojin Yang +3 more
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Comparing nonnested Cox models
Biometrika, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2000
The Cox proportional hazards model [36] has become by a wide margin the most used procedure for modeling the relationship of covariates to a survival or other censored outcome.
Terry M. Therneau, Patricia M. Grambsch
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The Cox proportional hazards model [36] has become by a wide margin the most used procedure for modeling the relationship of covariates to a survival or other censored outcome.
Terry M. Therneau, Patricia M. Grambsch
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Statistical Papers, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Korakot Wichitsa-nguan +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Korakot Wichitsa-nguan +2 more
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Cox Models and Cure Mixture Models
Journal of Statistics on Health Decision, 2020Introduction : Ulcerative colitis (UC) is an idiopathic chronic inflammatory bowel disease characterized by periods of remission and acute exacerbations, and unpredictable disease course. Despite the availability of new drugs, there are still a considerable proportion of patients that will be refractory to therapy, need colectomy or develop ...
Almeida, Alexandra Sofia Ribeiro de +3 more
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