A Simulation Study of the Conditional Gaussian Diffusion Process Model of Survival Analysis

2853 22 2907 3 5760 document 2907 WP-86-006.pdf application/pdf 5cf1076105fb8670a6eec3a9dca256fe MD5 727071 2016-01-15 01:57:08 https://pure.iiasa.ac.at/id/eprint/2853/1/WP-86-006.pdf 2853 1 1 text en public

WP-86-006.pdf

22 30ffcd43f89ebd8e7b6d97a46a1ca6f7c45013cf 19142 1 30872 document 19142 indexcodes.txt text/x-pascal 69c63ce970b7690694ec972af8371f44 MD5 8527 2016-01-15 13:52:14 https://pure.iiasa.ac.at/id/eprint/2853/2/indexcodes.txt 2853 2 2 text/x-pascal other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/2907 19147 2 30877 document 19147 lightbox.jpg image/png 7a48e320b62420d961ae3f041afd1a5a MD5 12356 2016-01-15 13:52:23 https://pure.iiasa.ac.at/id/eprint/2853/3/lightbox.jpg 2853 3 3 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

lightbox.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/islightboxThumbnailVersionOf https://pure.iiasa.ac.at/id/document/2907 19148 2 30878 document 19148 preview.jpg image/png 265c7f81bfe091d73bf98b2823946f37 MD5 6467 2016-01-15 13:52:24 https://pure.iiasa.ac.at/id/eprint/2853/4/preview.jpg 2853 4 4 image/png other Thumbnails conversion from text to thumbnail_preview en public

preview.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/ispreviewThumbnailVersionOf https://pure.iiasa.ac.at/id/document/2907 19149 2 30879 document 19149 medium.jpg image/png 07db1445a4cde3b4c16533ce90c156e7 MD5 2120 2016-01-15 13:52:25 https://pure.iiasa.ac.at/id/eprint/2853/5/medium.jpg 2853 5 5 image/png other Thumbnails conversion from text to thumbnail_medium en public

medium.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/2907 19150 2 30880 document 19150 small.jpg image/png 12890006c25bbe15d072fdd61aae1e01 MD5 971 2016-01-15 13:52:26 https://pure.iiasa.ac.at/id/eprint/2853/6/small.jpg 2853 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/2907 82160 2 230542 document 82160 WP-86-006.pdf application/pdf b2a080e9aad12d484298f91ebe4e36fc MD5 1423821 2018-03-14 08:31:09 https://pure.iiasa.ac.at/id/eprint/2853/7/WP-86-006.pdf 2853 7 7 application/pdf other Coversheet version en public

WP-86-006.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2907 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2907 archive 351 disk0/00/00/28/53 2016-01-15 01:57:08 2021-08-27 17:12:45 2016-01-15 01:57:08 monograph show 2 Rajulton F. AL1128 Yashin A.I. AL1394 A Simulation Study of the Conditional Gaussian Diffusion Process Model of Survival Analysis pub iis_met iis_mod iis_pop prog_fmf The recently developed conditional Gaussian diffusion process model is a powerful tool of survival analysis. Its generality not only encompasses the survival models to date but also brings into focus the influence of unobserved variables related to "death" of individuals. Further, that the model makes feasible a unique estimation of the parameters of the underlying unobserved or partially observed process is shown in this paper through a set of simulated data on death times and an unobserved variable. Possibilities of extensive use of the model to areas other than mortality are pointed out. 1986-02 published WP-86-006 WP-86-006 10 2316 2535 public working_paper IIASA, Laxenburg, Austria 32 FALSE info:eu-repo/semantics/book