[图书][B] Survival analysis with interval-censored data: A practical approach with examples in R, SAS, and BUGS
K Bogaerts, A Komarek, E Lesaffre - 2017 - taylorfrancis.com
Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R,
SAS, and BUGS provides the reader with a practical introduction into the analysis of interval …
SAS, and BUGS provides the reader with a practical introduction into the analysis of interval …
Vertical modeling: analysis of competing risks data with a cure fraction
In this paper, we extend the vertical modeling approach for the analysis of survival data with
competing risks to incorporate a cure fraction in the population, that is, a proportion of the …
competing risks to incorporate a cure fraction in the population, that is, a proportion of the …
[图书][B] Advanced survival models
C Legrand - 2021 - taylorfrancis.com
Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …
methods used in a wide range of applications, and in particular in medical research. During …
On the use of the modified power series family of distributions in a cure rate model context
DI Gallardo, YM Gomez, HW Gómez… - Statistical Methods in …, 2020 - journals.sagepub.com
In this paper, we propose a generalization of the power series cure rate model for the
number of competing causes related to the occurrence of the event of interest. The model …
number of competing causes related to the occurrence of the event of interest. The model …
[HTML][HTML] Fitting parametric cure models in R using the packages cuRe and rstpm2
RK Jensen, M Clements, LK Gjærde… - Computer Methods and …, 2022 - Elsevier
Background and objective: Within medical research, cure models are useful for analyzing
time-to-event data in the scenario where a proportion of the analyzed individuals are …
time-to-event data in the scenario where a proportion of the analyzed individuals are …
A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup
Failure time data with a cured subgroup are frequently confronted in various scientific fields
and many methods have been proposed for their analysis under right or interval censoring …
and many methods have been proposed for their analysis under right or interval censoring …
Survivorship of discarded cuckoo ray in bottom trawl fisheries in the northern Bay of Biscay, Southern Celtic and Irish Seas
Estimating the survivorship of discarded fish is often crucial for stock assessment and
resultant management of fisheries resources. In order to assess the survivorship of cuckoo …
resultant management of fisheries resources. In order to assess the survivorship of cuckoo …
bayesCureRateModel: Bayesian Cure Rate Modeling for Time to Event Data in R
P Papastamoulis, F Milienos - arXiv preprint arXiv:2409.10221, 2024 - arxiv.org
The family of cure models provides a unique opportunity to simultaneously model both the
proportion of cured subjects (those not facing the event of interest) and the distribution …
proportion of cured subjects (those not facing the event of interest) and the distribution …
Residual Analysis for Poisson-Exponentiated Weibull Regression Models with Cure Fraction
CR Fidelis, EMM Ortega, GM Cordeiro - Stats, 2024 - mdpi.com
The use of cure-rate survival models has grown in recent years. Even so, proposals to
perform the goodness of fit of these models have not been so frequent. However, residual …
perform the goodness of fit of these models have not been so frequent. However, residual …
Penalized likelihood estimation of a mixture cure Cox model with partly interval censoring—An application to thin melanoma
Time‐to‐event data in medical studies may involve some patients who are cured and will
never experience the event of interest. In practice, those cured patients are right censored …
never experience the event of interest. In practice, those cured patients are right censored …