Analysis of cure rate survival data under proportional odds model
Y Gu, D Sinha, S Banerjee - Lifetime data analysis, 2011 - Springer
Due to significant progress in cancer treatments and management in survival studies
involving time to relapse (or death), we often need survival models with cured fraction to …
involving time to relapse (or death), we often need survival models with cured fraction to …
Estimating and modeling the cure fraction in population-based cancer survival analysis
PC Lambert, JR Thompson, CL Weston… - Biostatistics, 2007 - academic.oup.com
In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in
the diseased group of individuals returns to the same level as that expected in the general …
the diseased group of individuals returns to the same level as that expected in the general …
Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models
TML Andersson, PW Dickman, S Eloranta… - BMC medical research …, 2011 - Springer
Background When the mortality among a cancer patient group returns to the same level as
in the general population, that is, the patients no longer experience excess mortality, the …
in the general population, that is, the patients no longer experience excess mortality, the …
Estimating the proportion cured of cancer: some practical advice for users
XQ Yu, R De Angelis, TML Andersson, PC Lambert… - Cancer …, 2013 - Elsevier
Background Cure models can provide improved possibilities for inference if used
appropriately, but there is potential for misleading results if care is not taken. In this study, we …
appropriately, but there is potential for misleading results if care is not taken. In this study, we …
Fitting and modeling cure in population-based cancer studies within the framework of flexible parametric survival models
TML Andersson, PC Lambert - The Stata Journal, 2012 - journals.sagepub.com
When the mortality among a cancer patient group returns to the same level as in the general
population, that is, when the patients no longer experience excess mortality, the patients still …
population, that is, when the patients no longer experience excess mortality, the patients still …
Bayesian approaches to joint longitudinal and survival models accommodating both zero and nonzero cure fractions
YY Chi, JG Ibrahim - Statistica Sinica, 2007 - JSTOR
The trade-offs between survival benefits and therapeutic adverse effects on quality of life
(QOL) is always an important clinical issue for cancer and AIDS patients. The International …
(QOL) is always an important clinical issue for cancer and AIDS patients. The International …
Flexible cure rate modeling under latent activation schemes
F Cooner, S Banerjee, BP Carlin… - Journal of the American …, 2007 - Taylor & Francis
With rapid improvements in medical treatment and health care, many datasets dealing with
time to relapse or death now reveal a substantial portion of patients who are cured (ie, who …
time to relapse or death now reveal a substantial portion of patients who are cured (ie, who …
Bayesian dynamic models for survival data with a cure fraction
In this paper, we propose a new class of semi-parametric cure rate models. Specifically, we
construct dynamic models for piecewise hazard functions over a finite partition of the time …
construct dynamic models for piecewise hazard functions over a finite partition of the time …
Modeling of the cure fraction in survival studies
PC Lambert - The Stata Journal, 2007 - journals.sagepub.com
Cure models are a special type of survival analysis model where it is assumed that there are
a proportion of subjects who will never experience the event and thus the survival curve will …
a proportion of subjects who will never experience the event and thus the survival curve will …