Sharif Digital Repository

Control chart is one of the most powerful tools in statistical process control (SPC). This tool has been widely used in industrial schemes; however, in recent years, it has become widespread in health care studies as well. Most of these studies are dealing with monitoring qualitative variables in one-stage processes. This research presents a new mechanism for monitoring medical processes, by modelling the bone marrow transplant surgery as a dependent multi-stage process into a multiple profile. In this mechanism, the characteristics which will be monitored are quantitative, and the cascade property between stages is considered. Moreover, risk adjustment methods have been used due to the... 

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...