The power prior: theory and applications
The power prior has been widely used in many applications covering a large number of
disciplines. The power prior is intended to be an informative prior constructed from historical …
disciplines. The power prior is intended to be an informative prior constructed from historical …
Estimating cure rates from survival data: an alternative to two-component mixture models
AD Tsodikov, JG Ibrahim… - Journal of the American …, 2003 - Taylor & Francis
This article considers the utility of the bounded cumulative hazard model in cure rate
estimation, which is an appealing alternative to the widely used two-component mixture …
estimation, which is an appealing alternative to the widely used two-component mixture …
[图书][B] Bayesian survival analysis
Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …
on prior processes, proportional and non-proportional hazards models, frailty models, cure …
[图书][B] Handbook of survival analysis
JP Klein, HC Van Houwelingen, JG Ibrahim… - 2014 - api.taylorfrancis.com
This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …
data analysis. This area of statistics deals with time-to-event data which is complicated not …
Cure models in survival analysis
M Amico, I Van Keilegom - Annual Review of Statistics and Its …, 2018 - annualreviews.org
When analyzing time-to-event data, it often happens that a certain fraction of the data
corresponds to subjects who will never experience the event of interest. These event times …
corresponds to subjects who will never experience the event of interest. These event times …
Cure rate models: a unified approach
G Yin, JG Ibrahim - Canadian Journal of Statistics, 2005 - Wiley Online Library
The authors propose a novel class of cure rate models for right‐censored failure time data.
The class is formulated through a transformation on the unknown population survival …
The class is formulated through a transformation on the unknown population survival …
[HTML][HTML] Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data
EZ Martinez, JA Achcar, AAA Jácome… - Computer methods and …, 2013 - Elsevier
The cure fraction models are usually used to model lifetime time data with long-term
survivors. In the present article, we introduce a Bayesian analysis of the four-parameter …
survivors. In the present article, we introduce a Bayesian analysis of the four-parameter …
Chapter 6: modeling the impact of treatment and screening on US breast cancer mortality: a Bayesian approach
Background: Breast cancer mortality (BCM) in the United States declined from 33.1 per 100
000 women in 1990 to 26.6 per 100 000 women in 2000, yielding a 19.6% relative decline in …
000 women in 1990 to 26.6 per 100 000 women in 2000, yielding a 19.6% relative decline in …
Parametric spatial cure rate models for interval-censored time-to-relapse data
S Banerjee, BP Carlin - Biometrics, 2004 - academic.oup.com
Several recent papers (eg,, Journal of the American Statistical Association 94, 909–919;,
Biometrics 57, 383–388) have described statistical methods for use with time-to-event data …
Biometrics 57, 383–388) have described statistical methods for use with time-to-event data …
A SAS macro for parametric and semiparametric mixture cure models
F Corbiere, P Joly - Computer methods and programs in biomedicine, 2007 - Elsevier
Cure models have been developed to analyze failure time data with a cured fraction. For
such data, standard survival models are usually not appropriate because they do not …
such data, standard survival models are usually not appropriate because they do not …