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Survival extrapolation using the poly-Weibull model
by
Demiris, Nikolaos
, Sharples, Linda D
, Lunn, David
in
Algorithms
/ Bayes Theorem
/ Biostatistics
/ Cardiothoracics
/ Cold Ischemia
/ Competing risks models
/ Computer programs
/ Cost analysis
/ Cost-Benefit Analysis
/ Extrapolation
/ Humans
/ Inference
/ Likelihood Functions
/ Lung Transplantation - economics
/ Lung Transplantation - mortality
/ Lung Transplantation - statistics & numerical data
/ Mathematical models
/ Models, Statistical
/ Organ Preservation - economics
/ Organ Preservation - instrumentation
/ Organ Preservation - statistics & numerical data
/ Proportional Hazards Models
/ Regression Analysis
/ Risk
/ Software
/ Subgroups
/ Survival
/ Survival Analysis
/ Time periods
/ Transplantation
/ Weibull distribution
2015
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Survival extrapolation using the poly-Weibull model
by
Demiris, Nikolaos
, Sharples, Linda D
, Lunn, David
in
Algorithms
/ Bayes Theorem
/ Biostatistics
/ Cardiothoracics
/ Cold Ischemia
/ Competing risks models
/ Computer programs
/ Cost analysis
/ Cost-Benefit Analysis
/ Extrapolation
/ Humans
/ Inference
/ Likelihood Functions
/ Lung Transplantation - economics
/ Lung Transplantation - mortality
/ Lung Transplantation - statistics & numerical data
/ Mathematical models
/ Models, Statistical
/ Organ Preservation - economics
/ Organ Preservation - instrumentation
/ Organ Preservation - statistics & numerical data
/ Proportional Hazards Models
/ Regression Analysis
/ Risk
/ Software
/ Subgroups
/ Survival
/ Survival Analysis
/ Time periods
/ Transplantation
/ Weibull distribution
2015
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Do you wish to request the book?
Survival extrapolation using the poly-Weibull model
by
Demiris, Nikolaos
, Sharples, Linda D
, Lunn, David
in
Algorithms
/ Bayes Theorem
/ Biostatistics
/ Cardiothoracics
/ Cold Ischemia
/ Competing risks models
/ Computer programs
/ Cost analysis
/ Cost-Benefit Analysis
/ Extrapolation
/ Humans
/ Inference
/ Likelihood Functions
/ Lung Transplantation - economics
/ Lung Transplantation - mortality
/ Lung Transplantation - statistics & numerical data
/ Mathematical models
/ Models, Statistical
/ Organ Preservation - economics
/ Organ Preservation - instrumentation
/ Organ Preservation - statistics & numerical data
/ Proportional Hazards Models
/ Regression Analysis
/ Risk
/ Software
/ Subgroups
/ Survival
/ Survival Analysis
/ Time periods
/ Transplantation
/ Weibull distribution
2015
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Journal Article
Survival extrapolation using the poly-Weibull model
2015
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Overview
Recent studies of (cost-) effectiveness in cardiothoracic transplantation have required estimation of mean survival over the lifetime of the recipients. In order to calculate mean survival, the complete survivor curve is required but is often not fully observed, so that survival extrapolation is necessary. After transplantation, the hazard function is bathtub-shaped, reflecting latent competing risks which operate additively in overlapping time periods. The poly-Weibull distribution is a flexible parametric model that may be used to extrapolate survival and has a natural competing risks interpretation. In addition, treatment effects and subgroups can be modelled separately for each component of risk. We describe the model and develop inference procedures using freely available software. The methods are applied to two problems from cardiothoracic transplantation.
Publisher
SAGE Publications,Sage Publications Ltd
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