Flexible risk-adjusted surveillance procedures for autocorrelated binary series

DOI10.1002/cjs.11255zbMath1321.62106OpenAlexW2157093406MaRDI QIDQ2949767

Abdulkadir Hussein, Stefan Steiner, Edit Gombay

Publication date: 2 October 2015

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11255

zbMATH Keywords

sequential testmaximum partial likelihood estimatorbinary time serieshealth care performance

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical analysis (62L10)

Related Items (1)

Editor’s special invited paper: On the efficient score vector in sequential monitoring

Cites Work

• A Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety Surveillance
• Retrospective change detection for binary time series models
• A limit theorem for the maximum of normalized sums of independent random variables
• Monitoring parameter change in AR\((p)\) time series models
• Change detection in autoregressive time series
• Performance of risk-adjusted cumulative sum charts when some assumptions are not met
• Detection of a “Disorder” in a Wiener Process
• False Alarm Probability Function of Cusum Charts
• Contributions to Central Limit Theory for Dependent Variables
• Monitoring surgical performance using risk-adjusted cumulative sum charts

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