Parameter Estimation in Illness-Death Processes:  Preinfaractional Angina

dc.contributor.author	Eisenfeld, Jerome	en
dc.contributor.author	Canada, B.	en
dc.date.accessioned	2010-06-03T16:12:49Z	en
dc.date.available	2010-06-03T16:12:49Z	en
dc.date.issued	1979	en
dc.identifier.uri	http://hdl.handle.net/10106/2301	en
dc.description.abstract	Please note that the full text is embargoed ABSTRACT: An illness-death process is an absorbing Markov process where the illness states from the transient states of the process. This paper deals with the estimation of illness-death parameters from survivor data. The parameters of interest include the probabilities of recovery, relapse and death and mean residence times. The estimation problem is considered from the point of view of the theory of structural identifiability in compartmental analysis. As a prototypical example, we consider published data on preinfarctional angina.	en
dc.language.iso	en_US	en
dc.publisher	University of Texas at Arlington	en
dc.relation.ispartofseries	Technical Report;115	en
dc.subject	Illness-death processes	en
dc.subject	Stochastic compartmental analysis	en
dc.subject	Structural identifiably	en
dc.subject	Parameter estimation	en
dc.subject	Preinfarctional angina	en
dc.subject.lcsh	Mathematics Research	en
dc.title	Parameter Estimation in Illness-Death Processes: Preinfaractional Angina	en
dc.type	Technical Report	en
dc.publisher.department	Department of Mathematics	en