A risk-adjusted Sets method for monitoring adverse medical outcomes

The Sets method has been advocated in previous work as a method for monitoring adverse medical outcomes where the adverse event rate is low. Here, a risk‐adjusted version of the refined Sets method is presented and an example is given to demonstrate its advantage over the unadjusted method. The meth...

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Bibliographic Details
Published in:Statistics in medicine 2004-05, Vol.23 (10), p.1593-1602
Main Authors: Grigg, O. A., Farewell, V. T.
Format: Article
Language:English
Subjects:
adverse events
Algorithms
Cardiovascular Diseases - surgery
Clinical outcomes
Data Interpretation, Statistical
graphical representation
Grass plot
Humans
Medical research
monitoring Sets method
Outcome Assessment (Health Care) - methods
Risk Adjustment - methods
risk-adjustment
Statistical analysis
Treatment Outcome
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Summary:The Sets method has been advocated in previous work as a method for monitoring adverse medical outcomes where the adverse event rate is low. Here, a risk‐adjusted version of the refined Sets method is presented and an example is given to demonstrate its advantage over the unadjusted method. The method is suitable for any risk distribution and does not assume that changes in risk will be small. A graphical representation, referred to as the Grass plot, of the original and risk‐adjusted methods is also given. Copyright © 2004 John Wiley & Sons, Ltd.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.1763