title: Time series modeling for quality control in clinical chemistry.
abstract: Autocorrelation of clinical chemistry quality-control (Q/C) measurements causes one of the basic assumptions underlying the use of Levey-Jennings control charts to be violated and performance to be degraded. This is the requirement that the observations be statistically independent. We present a proposal for a new approach to statistical quality control that removes this difficulty. We propose to replace the current single control chart of raw Q/C data with two charts: (a) a common cause chart, representing a Box-Jenkins ARIMA time-series model of any underlying persisting nonrandomness in the process, and (b) a special cause chart of the residuals from the above model, which, being free of such persisting nonrandomness, fulfills the criteria for use of the standard Levey-Jennings plotting format and standard control rules. We provide a comparison of the performance of our proposed approach with that of current practice.
authors.affiliation: Graduate School of Business, Pritzker School of Medicine, University of Chicago, IL 60637.
authors.forename: L C
authors.initials: LC
authors.lastname: Alwan
authors.forename: M G
authors.initials: MG
authors.lastname: Bissell
mesh_terms: D002624:Chemistry, Clinical / Q000592:standards*; D003658:Decision Making, Computer-Assisted; D006801:Humans; D008962:Models, Theoretical; D011786:Quality Control; D012984:Software; D013223:Statistics as Topic; D013997:Time Factors