Title
Organ transplantation policy evaluation (1995)
Abstract
This paper on the UNOS Liver Allocation Model (ULAM) describes the building of a simulation model that supports policy evaluation for a national medical problem. The modeling and simulation techniques used in building ULAM include: fitting donor and patient arrival processes having trend and cyclic rate components using non-homogeneous Poisson processes (NHPPs) having exponential rate functions which may include both a polynomial and some trigonometric components; fitting distributions to data on transition times between states of medical urgency; application of variance reduction techniques using common random-number streams and prior information; organizing data structures for efficient file searching and ranking capabilities; the use of bootstrapping techniques for attribute sampling; the building of submodels employing biostatistical procedures such as Kaplan-Meier and logistic regression; and the characterization of performance measures within a complex political, economic and social environment. ULAM provides a means for producing quantitative information to support the selection of a liver allocation policy.
Year
DOI
Venue
2007
10.5555/1351542.1352011
Winter Simulation Conference
Keywords
Field
DocType
exponential rate function,national medical problem,organ transplantation policy evaluation,medical urgency,liver allocation policy,fitting donor,fitting distribution,cyclic rate component,prior information,policy evaluation,data structure,organ transplantation
Data mining,Data structure,Polynomial,Ranking,Simulation,Modeling and simulation,Computer science,Bootstrapping,Sampling (statistics),Poisson distribution,Variance reduction
Conference
ISBN
Citations 
PageRank 
1-4244-1306-0
0
0.34
References 
Authors
4
13