  Benchmarking is commonly used in many healthcare settings to monitor clinical
performance, with the aim of increasing cost-effectiveness and safe care of
patients. The funnel plot is a popular tool in visualizing the performance of a
healthcare center in relation to other centers and to a target, taking into
account statistical uncertainty. In this paper we develop methodology for
constructing funnel plots for survival data. The method takes into account
censoring and can deal with differences in censoring distributions across
centers. Practical issues in implementing the methodology are discussed,
particularly in the setting of benchmarking clinical outcomes for hematopoietic
stem cell transplantation. A simulation study is performed to assess the
performance of the funnel plots under several scenarios. Our methodology is
illustrated using data from the EBMT benchmarking project.
