Accelerated failure time model based risk adjusted MA-EWMA control chart

In health care centers, monitoring the medical outcomes is desirable to quickly detect performance changes. In recent years, monitoring the surgical process has gained eminence by accounting for patients' health conditions before cardiac surgery where the data is heterogeneous with respect to p...

Full description

Saved in:
Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 53; no. 10; pp. 4821 - 4831
Main Authors Asif, Faiza, Noor-ul-Amin, Muhammad, Riaz, Afshan
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 02.10.2024
Taylor & Francis Ltd
Subjects
ARL
Control charts
EWMA
Failure times
Moving average
Performance evaluation
Risk-adjusted
Surgery
Telemedicine
Online AccessGet full text

Cover

More Information
Summary:In health care centers, monitoring the medical outcomes is desirable to quickly detect performance changes. In recent years, monitoring the surgical process has gained eminence by accounting for patients' health conditions before cardiac surgery where the data is heterogeneous with respect to patients' health conditions. In the current study, we focus on risk-adjusted moving average-exponentially weighted moving average (RAMA-EWMA) control chart to identify the survival time after cardiac surgery. For this purpose, we used two years data set of the cardiac surgery. The performance of the control chart is evaluated by the average run length. Based on the extensive simulation, the average run length properties are computed. It is revealed that the proposed control chart has better shift diagnostic ability than the control chart considers in this study.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2022.2155315