A tutorial on frailty models

TA Balan, H Putter - Statistical methods in medical research, 2020 - journals.sagepub.com
… 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. …

[HTML][HTML] Survival analysis in gastric cancer: a multi-center study among Iranian patients

A Talebi, A Mohammadnejad, A Akbari… - BMC surgery, 2020 - Springer
… 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 …

Shared frailty methods for complex survival data: a review of recent advances

M Gorfine, DM Zucker - Annual Review of Statistics and Its …, 2023 - annualreviews.org
… 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: …

A review of h-likelihood for survival analysis

ID Ha, Y Lee - Japanese Journal of Statistics and Data Science, 2021 - Springer
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

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 …

[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 …

A new long-term survival model with dispersion induced by discrete frailty

VG Cancho, MAC Macera, AK Suzuki, F Louzada… - … Data Analysis, 2020 - Springer
… , 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 …

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 …

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 …

An efficient and accurate frailty model approach for genome-wide survival association analysis controlling for population structure and relatedness in large-scale …

R Dey, W Zhou, T Kiiskinen, A Havulinna, A Elliott… - bioRxiv, 2020 - biorxiv.org
… 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 …