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Appendix A: Data Sources and Methods
Pages 145-156

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From page 145...
... These sources included public input and testimony from federal agencies, professional societies, organizations, and individuals; a review of recent scientific literature; and statistical analyses of over 68,000 records of patient listings for liver transplantation. In addition to these fairly traditional sources of data, expert liaisons were assembled for the committee to consult with throughout the project (see Box A1~.
From page 146...
... The organizations and individuals that addressed the committee are listed in Box A-2. BOX A-1 Expert Liaisons Patients and Donor Families Vicki Crosier, National Kidney Foundation Donor Family Council Charlie Fiske, National Transplant Action Committee Pushkal Garg, Johns Hopkins University Robert J
From page 147...
... Department of Health and Human Services Mike Hall, American Liver Foundation William Harmon, American Society of Transplantation Craig lain, National Transplant Action Committee Richard Luskin, Association of Organ Procurement Organizations Robert Merion, Patient Access to Transplantation Coalition William W Pfaff, United Network for Organ Sharing Bruce Weir, Transplant Recipient International Organization Andrea Zachary, American Society of Histocompatibility and Immunogenetics April 16, 1999 Ronald W
From page 148...
... House of Representatives Committee on Commerce Walton Francis Department of Health and Human Services Robert Goldstein Juvenile Diabetes Foundation Walter Graham United Network for Organ Sharing Carol Green U.S. Senate Committee on Health Education, Labor, and Pensions
From page 149...
... J Hostetler Richmond Times-Dispatch Melody Hughson Hoffman-LaRoche Kent Jenkins United Network for Organ Sharing Linda Jones Lifeline of Ohio Karen Kennedy Transplant Resource Center of Maryland Jerry Klepner United Network for Organ Sharing Lisa Kory Transplant Recipient International Organization 149 Evan Krisely Patient Access to Transplantation Coalition Eugene Laska Nathan Kline Institute Judy LaSov Maryland Patient Advocacy Group William Lawrence United Network for Organ Sharing Sue Leffell American Society of Histocompatibility and Immunogenetics Becky Levin Renal Physicians Association Pearl Lewis Maryland Patient Advocacy Group Chris Lu U.S.
From page 150...
... Senate Committee on Health, Education, Labor, and Pensions Subcommittee on Public Health Cliff VanMeter United Network of Organ Sharing Angela Vincent National Medical Association Jim Warren Journal of Transplant News Lynn Wegman Department of Health and Human Services Marc Wheat U.S. House of Representatives Committee on Commerce
From page 151...
... ; citizenship of patients recently added to the waiting lists; survival rates and transplant rates by OPO population size; OPO death rates on the liver waiting list by initial status and status at death; algorithms; and audits regarding classification of recipients.
From page 152...
... In our case, these represent transplant, death, and other and we code the K + 1 response categories as 0, 1, 2. Adding random effects to the multinomial logistic regression model of Bock (1970)
From page 153...
... represents the population distribution of the random effects. For parameter estimation, the marginal log-likelihood from the N OPOs can be written as: log L = ZiN log hays)
From page 154...
... , which indicates the degree of OPO population variance, is what distinguishes the mixed-effects model from the ordinary f~xed-effects multinomial logistic regression model. At convergence, the MML estimates and their accompanying standard errors can be used to construct asymptotic z-statistics by dividing the parameter estimate by its standard error (Wald, 1943~.
From page 155...
... discussed the possibility of empirically estimating the random-effect distribution. For models with few random effects the quadrature solution is relatively fast and computationally tractable.
From page 156...
... ANALYSIS OF COSTS The General Accounting Office (GAO) provided the committee with data that were instrumental in analyzing the potential effects of the Final Rule on transplantation costs.


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