Fitting Semiparametric Additive Hazards Models using Standard Statistical Software
dc.contributor.author | Schaubel, Douglas E. | en_US |
dc.contributor.author | Wei, Guanghui | en_US |
dc.date.accessioned | 2007-12-04T18:30:17Z | |
dc.date.available | 2008-11-05T15:05:43Z | en_US |
dc.date.issued | 2007-10 | en_US |
dc.identifier.citation | Schaubel, Douglas E.; Wei, Guanghui (2007). "Fitting Semiparametric Additive Hazards Models using Standard Statistical Software." Biometrical Journal 49(5): 719-730. <http://hdl.handle.net/2027.42/57359> | en_US |
dc.identifier.issn | 0323-3847 | en_US |
dc.identifier.issn | 1521-4036 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/57359 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17638295&dopt=citation | |
dc.description.abstract | The Cox proportional hazards model has become the standard in biomedical studies, particularly for settings in which the estimation covariate effects (as opposed to prediction) is the primary objective. In spite of the obvious flexibility of this approach and its wide applicability, the model is not usually chosen for its fit to the data, but by convention and for reasons of convenience. It is quite possible that the covariates add to, rather than multiply the baseline hazard, making an additive hazards model a more suitable choice. Typically, proportionality is assumed, with the potential for additive covariate effects not evaluated or even seriously considered. Contributing to this phenomenon is the fact that many popular software packages (e.g., SAS, S-PLUS/R) have standard procedures to fit the Cox model (e.g., proc phreg, coxph), but as of yet no analogous procedures to fit its additive analog, the Lin and Ying (1994) semiparametric additive hazards model. In this article, we establish the connections between the Lin and Ying (1994) model and both Cox and least squares regression. We demonstrate how SAS's phreg and reg procedures may be used to fit the additive hazards model, after some straightforward data manipulations. We then apply the additive hazards model to examine the relationship between Model for End-stage Liver Disease (MELD) score and mortality among patients wait-listed for liver transplantation. (© 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) | en_US |
dc.format.extent | 123560 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | WILEY-VCH Verlag | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Epidemiology, Biostatistics and Public Health | en_US |
dc.title | Fitting Semiparametric Additive Hazards Models using Standard Statistical Software | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, M4039 SPH II, 1420 Washington Heights, Ann Arbor, MI, 48109-2029, USA ; Phone: +01 734 615 9825, Fax: +01 734 763 2215 | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, M4039 SPH II, 1420 Washington Heights, Ann Arbor, MI, 48109-2029, USA | en_US |
dc.identifier.pmid | 17638295 | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/57359/1/719_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/bimj.200610349 | en_US |
dc.identifier.source | Biometrical Journal | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.