A tutorial on frailty models
… We concentrate on the use of frailty models in survival analysis. … application of frailty models
in two common situations, the modeling of center effects and the analysis of recurrent events. …
in two common situations, the modeling of center effects and the analysis of recurrent events. …
[HTML][HTML] Survival analysis in gastric cancer: a multi-center study among Iranian patients
… First, most significant prognostic risk factors on survival were selected, Cox proportional
hazards, extended Cox, gamma-frailty models were applied to evaluate the effects of the risk …
hazards, extended Cox, gamma-frailty models were applied to evaluate the effects of the risk …
Shared frailty methods for complex survival data: a review of recent advances
… This article reviews recent developments in the area of frailty models in a variety … survival
analysis (ie, time-to-event outcome analysis), such models are known as shared frailty models: …
analysis (ie, time-to-event outcome analysis), such models are known as shared frailty models: …
A review of h-likelihood for survival analysis
… frailty and joint models, as we shall discuss below. We also demonstrate how to analyze
survival … We review the h-likelihood-based inferences for frailty models with clustered survival …
survival … We review the h-likelihood-based inferences for frailty models with clustered survival …
Correlated positive stable frailty models
DD Hanagal - Communications in Statistics-Theory and Methods, 2021 - Taylor & Francis
… Frailty models are used in the survival analysis to account for the unobserved heterogeneity
in … To analyze the bivariate data on related survival times, the shared frailty models were …
in … To analyze the bivariate data on related survival times, the shared frailty models were …
[图书][B] Advanced survival models
C Legrand - 2021 - taylorfrancis.com
… , Hasselt University, in the field of survival analysis (frailty models). Early 2006, she started
… data is using a (shared) frailty model. Frailty models are presented in one or more dedicated …
… data is using a (shared) frailty model. Frailty models are presented in one or more dedicated …
A new long-term survival model with dispersion induced by discrete frailty
… , play a very important role in survival analysis. These … In this study, we derive the survival
function of the frailty model using the class of ZIPS distributions (Van den Broek 1995), which …
function of the frailty model using the class of ZIPS distributions (Van den Broek 1995), which …
Correlated inverse Gaussian frailty models for bivariate survival data
DD Hanagal, A Pandey - Communications in Statistics-Theory and …, 2020 - Taylor & Francis
… Frailty models are used in the survival analysis to account for the unobserved heterogeneity
in … To analyze the bivariate data on related survival times, the shared frailty models were …
in … To analyze the bivariate data on related survival times, the shared frailty models were …
Long-term frailty modeling using a non-proportional hazards model: Application with a melanoma dataset
VF Calsavara, EA Milani, E Bertolli… - Statistical methods in …, 2020 - journals.sagepub.com
… In survival analysis, the standard approach to the analysis of … model and its frailty version,
as well as the hazard, survival, … in which these models become a cure rate models. These …
as well as the hazard, survival, … in which these models become a cure rate models. These …
An efficient and accurate frailty model approach for genome-wide survival association analysis controlling for population structure and relatedness in large-scale …
… tests in frailty models for analyzing heavily censored phenotypes. Here we propose a
novel method for genome-wide survival analysis of … Our method, Genetic Analysis of Time-to-Event …
novel method for genome-wide survival analysis of … Our method, Genetic Analysis of Time-to-Event …
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