Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One such methodology is the Risk-adjusted Cumulative Sum chart (RA-CUSUM) for monitoring binary outcomes such as mortality after cardiac surgery. When building RA-CUSUMs, independence and model correctness are assumed. We carry out a simulation study to examine the effect of violating these two assumptions on the chart's performance.
|Titolo:||Performance of risk-adjusted cumulative sum charts when some assumptions are not met|
|Autori interni:||CAMPOSTRINI, Stefano|
|Data di pubblicazione:||2017|
|Rivista:||COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION|
|Appare nelle tipologie:||2.1 Articolo su rivista |