Impact of public reporting of coronary artery bypass graft surgery performance data on market share, mortality, and patient selection.

Background: The impact of publicly reporting risk-adjusted outcomes for hospitals and surgeons remains controversial, with particular concern about unintended consequences.

Objectives: We evaluated the impact of 3 reports from the voluntary California CABG Mortality Reporting Program (CCMRP) on hospital market share, hospital mortality, and patient selection for coronary artery bypass graft (CABG) surgery.

Research Design And Participants: We analyzed data from January 2000 to December 2005 for all patients receiving isolated CABG surgery in California.

The CABG surgery volume-outcome relationship: temporal trends and selection effects in California, 1998-2004.

Objective: To investigate the temporal trends in the volume-outcome relationship in coronary artery bypass graft (CABG) surgery in California from 1998 to 2004, and to assess the selection effects on this relationship by using data from periods of voluntary and mandatory hospital reporting.

Data Sources: We used patient-level clinical data collected for the California CABG Mortality Reporting Program (CCMRP, a voluntary reporting program with between 68 and 81 hospitals) from 1998 to 2002 and the California CABG Outcomes Reporting Program (CCORP, a mandatory reporting program with 121 and 120 hospitals) from 2003 to 2004.

Study Design: The patient was the primary unit of analysis, and in-hospital mortality was the primary outcome.

Dimension reduction for classification with gene expression microarray data.

An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three dimension reduction techniques, namely partial least squares (PLS), sliced inverse regression (SIR) and principal component analysis (PCA), and evaluates the relative performance of classification procedures incorporating those methods.