On the Effect of Estimation Error for the Risk-Adjusted Charts
Joint Authors
Altaf, Naila
Shah, Ismail
Wang, Lichen
Raza, Syed Muhammad Muslim
Ali, Sajid
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Control charts are a popular statistical process control (SPC) technique for monitoring to detect the unusual variations in different processes.
Contrary to the classical charts, control charts have also been modified to include covariates using regression approaches.
This study assesses the performance of risk-adjusted control charts under the complexity of estimation error by considering logistic and negative binomial regression models.
To be more precise, risk-adjusted Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) charts are used to evaluate the impact of the estimation error.
To compute the average run length (ARL), Markov Chain Monte Carlo simulations are conducted.
Furthermore, a bootstrap method is also used to compute the ARL assuming different Phase-I data sets to minimize the effect of estimation error on risk-adjusted control charts.
The results for cardiac surgery and respiratory disease data sets show that the modified control charts improve the performance in detecting small shifts.
American Psychological Association (APA)
Ali, Sajid& Altaf, Naila& Shah, Ismail& Wang, Lichen& Raza, Syed Muhammad Muslim. 2020. On the Effect of Estimation Error for the Risk-Adjusted Charts. Complexity،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1142829
Modern Language Association (MLA)
Ali, Sajid…[et al.]. On the Effect of Estimation Error for the Risk-Adjusted Charts. Complexity No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1142829
American Medical Association (AMA)
Ali, Sajid& Altaf, Naila& Shah, Ismail& Wang, Lichen& Raza, Syed Muhammad Muslim. On the Effect of Estimation Error for the Risk-Adjusted Charts. Complexity. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1142829
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142829