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.

journal_name

Clin Chem

journal_title

Clinical chemistry

authors

Alwan LC,Bissell MG

subject

Has Abstract

pub_date

1988-07-01 00:00:00

pages

1396-406

issue

7

eissn

0009-9147

issn

1530-8561

journal_volume

34

pub_type

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