Bernoulli Cumulative Sum (CUSUM) Control Charts for Monitoring of Anesthesiologists’ Performance in Supervising Anesthesia Residents and Nurse Anesthetists

2014 ◽  
Vol 119 (3) ◽  
pp. 679-685 ◽  
Author(s):  
Franklin Dexter ◽  
Johannes Ledolter ◽  
Bradley J. Hindman
2021 ◽  
pp. 1-27
Author(s):  
Eduardo Nesi Bubicz ◽  
Tiago Pascoal Filomena ◽  
Leonardo Riegel Sant’Anna ◽  
Eduardo Bered Fernandes Vieira

2016 ◽  
Vol 27 (2) ◽  
pp. 622-641 ◽  
Author(s):  
Athanasios C Rakitzis ◽  
Philippe Castagliola ◽  
Petros E Maravelakis

In this work, we study upper-sided cumulative sum control charts that are suitable for monitoring geometrically inflated Poisson processes. We assume that a process is properly described by a two-parameter extension of the zero-inflated Poisson distribution, which can be used for modeling count data with an excessive number of zero and non-zero values. Two different upper-sided cumulative sum-type schemes are considered, both suitable for the detection of increasing shifts in the average of the process. Aspects of their statistical design are discussed and their performance is compared under various out-of-control situations. Changes in both parameters of the process are considered. Finally, the monitoring of the monthly cases of poliomyelitis in the USA is given as an illustrative example.


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