Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime

DOI10.1080/00949655.2020.1814775OpenAlexW3083904360MaRDI QIDQ5033956

Maryam Keshavarz, Seyed Taghi Akhavan Niaki, Shervin Asadzadeh

Publication date: 24 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1814775

zbMATH Keywords

test powerdiscrete frailty modelaccelerated failure time (AFT) modelcumulative sum (CUSUM) control chartdummy variable

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time ⋮ ARL estimation of the control chart of log likelihood ratios' sum for Markov sequence ⋮ Statistical process control based on gamma-frailty models for heterogeneous reliability observations

Cites Work

• Unnamed Item
• Risk-adjusted monitoring of time to event
• A Risk‐Adjusted O–E CUSUM with Monitoring Bands for Monitoring Medical Outcomes
• Monitoring Weibull regression models with type I right-censored observations in phase II processes
• Monitoring the parameter vector of regression models with time-to-event response in phase II processes
• A median loss control chart for monitoring quality loss under skewed distributions
• Phase I risk-adjusted control charts for surgical data with ordinal outcomes
• Moving range EWMA control charts for monitoring the Weibull shape parameter
• Gamma frailty models for bivariate survival data
• ARL-unbiased control charts with alarm and warning lines for monitoring Weibull percentiles using the first-order statistic
• Monitoring surgical performance using risk-adjusted cumulative sum charts

This page was built for publication: Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime