Monitoring Patient Survival Times of Surgical Systems Using a Isk-Adjusted AFT Regression Chart, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Taghi (Supervisor)
Abstract
Monitoring a surgical process has gained prominence by accounting for patiens̛ health condition prior to surgery in recent years. How even most existing researches focus on phase 2 monitoring and binary outcomes. Very little work has been done on phase 1 control of outcomes and no one addressing the issue of phase 1 monitoring of continuous outcomes. Risk adjustment is accomplished using accelerated failure time (AFT) regression models. In this thesis a general phase 1 risk-adjusted control chart is proposed for monitoring continuous surgical outcomes based on a likelihood-ratio test derived from a change-point model. Different from the existing models, this thesis shows that continuous...
Cataloging briefMonitoring Patient Survival Times of Surgical Systems Using a Isk-Adjusted AFT Regression Chart, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Taghi (Supervisor)
Abstract
Monitoring a surgical process has gained prominence by accounting for patiens̛ health condition prior to surgery in recent years. How even most existing researches focus on phase 2 monitoring and binary outcomes. Very little work has been done on phase 1 control of outcomes and no one addressing the issue of phase 1 monitoring of continuous outcomes. Risk adjustment is accomplished using accelerated failure time (AFT) regression models. In this thesis a general phase 1 risk-adjusted control chart is proposed for monitoring continuous surgical outcomes based on a likelihood-ratio test derived from a change-point model. Different from the existing models, this thesis shows that continuous...
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