Medical College of Wisconsin
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Analyzing center specific outcomes in hematopoietic cell transplantation. Lifetime Data Anal 2008 Dec;14(4):389-404 PMID: 18836830 PMCID: PMC2709496

Pubmed ID

18836830

Abstract

Reporting transplant center-specific survival rates after hematopoietic cell transplantation is required in the United States. We describe a method to report 1-year survival outcomes by center, as well as to quantify center performance relative to the transplant center network average, which can be reliably used with censored data and for small center sizes. Each center's observed 1-year survival outcome is compared to a predicted survival outcome adjusted for patient characteristics using a pseudovalue regression technique. A 95% prediction interval for 1-year survival assuming no center effect is computed for each center by bootstrapping the scaled residuals from the regression model, and the observed 1-year survival is compared to this prediction interval to determine center performance. We illustrate the technique using a recent center specific analysis performed by the Center for International Blood and Marrow Transplant Research, and study the performance of this method using simulation.

Author List

Logan BR, Nelson GO, Klein JP

Author

Brent R. Logan PhD Director, Professor in the Institute for Health and Equity department at Medical College of Wisconsin




Scopus

2-s2.0-55949120408   10 Citations

MESH terms used to index this publication - Major topics in bold

Computer Simulation
Data Interpretation, Statistical
Hematopoietic Stem Cell Transplantation
Humans
Outcome Assessment (Health Care)
Regression Analysis
Risk Factors
Sensitivity and Specificity
Survival Analysis
Treatment Outcome
United States
jenkins-FCD Prod-300 626508253d14e4184314fb9f66322a03a5906796