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Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart by Sina Kazemi; Rassoul Noorossana; Mohammad Rasouli; Mohamad R. Nayebpour; Kamran Heidari is a Decision Sciences article available to read on EtoBox.

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Using control charts for monitoring therapeutic processes has become popular lately. As the application of traditional control charts in the therapeutic processes may be misleading due to the inherent differences between patients, a multifactor correlated risk measure is considered in monitoring of these processes. Therefore, using risk-adjusted control charts for monitoring the therapeutic processes is of interest to practitioners. Furthermore, in health care monitoring, statistical models should account for abnormal distributions and outlier data to minimize misinterpretations of monitoring schemes. This study proposes a risk-adjusted multivariate Tukey's cumulative sum (RA-MTCUSUM) control chart. The proposed method is a combination of the accelerated failure time (AFT) regression model, the Tukey's control chart (TCC) featuring robustness against abnormality, and the multivariate cumulative sum (MCUSUM) control chart for monitoring multivariable process. Simulation experiments are performed to evaluate the performance of the proposed control chart using the average run length (ARL) measure. Results show that the RA-MTCUSUM control chart has better performance in comparison with

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Author

Sina Kazemi; Rassoul Noorossana; Mohammad Rasouli; Mohamad R. Nayebpour; Kamran Heidari

Publisher

Wiley

Published

2021

Language

EN

Field

Decision Sciences (Social Sciences)