[图书][B] Modelling survival data in medical research

D Collett - 2023 - taylorfrancis.com
… Fitting parametric frailty models with individual frailty … Fitting parametric frailty models with
shared frailty … Some of the many areas of application of survival analysis are outlined in this …

Incidence of neonatal mortality and its predictors among live births in Ethiopia: Gompertz gamma shared frailty model

ZT Tessema, GA Tesema - Italian journal of pediatrics, 2020 - Springer
… However, there is limited evidence on the incidence and predictors of neonatal mortality
at the national level using survival analysis. Understanding the incidence and predictors of …

Effects of the penalty mechanism against traffic violations in China: A joint frailty model of recurrent violations and a terminal accident

Z Liu, H Wu, R Li - Accident Analysis & Prevention, 2020 - Elsevier
… A frailty survival analysis method is conducted to jointly model the occurrence of violation …
The joint frailty model used in this study demonstrates a novel way to analyze the effect of a …

Deep extended hazard models for survival analysis

Q Zhong, JW Mueller, JL Wang - Advances in Neural …, 2021 - proceedings.neurips.cc
survival analysis method, the EH model, which can represent a wider family of survival models.
… network structure to facilitate mathematical study of deep survival analysis. Under the EH …

Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework

MP Almeida, RS Paixão, PL Ramos… - Reliability Engineering & …, 2020 - Elsevier
frailty model is commonly used to model heterogeneous repairable systems [19], [20], [21].
We start to formulate the shared frailty model … processes dependent on a frailty term. Suppose …

Time to first birth and its predictors among reproductive-age women in Ethiopia: inverse Weibull gamma shared frailty model

R Dewau, FA Mekonnen, WS Seretew - BMC Women's Health, 2021 - Springer
… Since our data were correlated at cluster level, shared frailty model were modeled by
taking enumeration areas/clusters as a random effect for predictors of time to first birth among …

A bivariate power generalized Weibull distribution: a flexible parametric model for survival analysis

MC Jones, A Noufaily, K Burke - Statistical Methods in …, 2020 - journals.sagepub.com
… a bivariate shared frailty model with power … frailty models like the ones of interest in this
article are sometimes criticized on grounds of insufficient flexibility. A correlated frailty model is an …

Comparing the association between multiple chronic conditions, multimorbidity, frailty, and survival among older patients with cancer

WP Bensken, NK Schiltz, DF Warner, DH Kim… - Journal of geriatric …, 2022 - Elsevier
… The frailty models showed the greatest separation in unadjusted survival curves. … Harrell's
C statistic was generated for survival analysis models as a measure of model performance. …

Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty–copula model

BH Wu, H Michimae, T Emura - Computational Statistics, 2020 - Springer
frailty model, leading to the Weibull–Gamma hierarchical structure. Consequently, the
moments, survival … Our Kaplan–Meier survival analyses and log-rank tests show that Stage also …

Life expectancy estimates based on comorbidities and frailty to inform preventive care

NL Schoenborn, AL Blackford, CE Joshu… - Journal of the …, 2022 - Wiley Online Library
… We illustrate the effect of frailty status on survival in a hypothetical 70-year-old woman by
showing the Kaplan–Meier analyses for each possible combination of comorbidity and frailty