Computations via Auxiliary Random Functions for Survival Models
A new simulation method, "auxiliary random functions" is introduced. When used within a Gibbs sampler, this method enables a unified treatment of exact, right-censored, left-censored, left-truncated and interval censored data, with and without covariates in survival models. The models and methods are exemplified via illustrative analysis. Copyright 2006 Board of the Foundation of the Scandinavian Journal of Statistics..
Year of publication: |
2006
|
---|---|
Authors: | LAUD, PURUSHOTTAM W. ; DAMIEN, PAUL ; WALKER, STEPHEN G. |
Published in: |
Scandinavian Journal of Statistics. - Danish Society for Theoretical Statistics, ISSN 0303-6898. - Vol. 33.2006, 2, p. 219-226
|
Publisher: |
Danish Society for Theoretical Statistics Finnish Statistical Society Norwegian Statistical Association Swedish Statistical Association |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Bayesian Nonparametric Inference for Random Distributions and Related Functions
Walker, Stephen G., (1999)
-
Nonparametric function estimation subject to monotonicity, convexity and other shape constraints
Shively, Thomas S., (2011)
-
Kalli, Maria, (2013)
- More ...