REFERENCES
- Harris EK. Some theory of reference values. I. Stratified (categorized) normal ranges and a method for following an individual's clinical laboratory values. Clin Chem 1975; 21/10: 1457–64.
- Harris EK. Some theory of reference values. II. Comparison of some statistical models of intrain- dividual variation in blood constituents. Clin Chem 1976; 22: 1343–50.
- Harris EK. Statistical principles underlying analy-tical goal-setting in clinical chemistry. Am J Clin Pathol 1979; 72: 374–82.
- Fraser CG, Hyltoft Petersen P, Larsen ML. Setting analytical goals for random analytical error in specific clinical monitoring situations. Clin Chem 1990; 36/9: 1625–8.
- Hyltoft Petersen P, Fraser CG, Westgard JO, Larsen ML. Analytical goal-setting for monitoring patients when two analytical methods are used. Clin Chem 1992; 38/11: 2256–60.
- Fraser CG. Desirable standards of performance for therapeutic drug monitoring. Clin Chem 1987; 33/3: 387–9.
- Barnett RN. Medical significance of laboratory results. Am J Clin Pathol 1968; 50: 671–6.
- Groth T. Methods and approaches to determine "optimal" quality for clinical chemical data. Scand J Clin Lab Invest 1980; 40 Suppl 155: 47–63.
- Harris EK. Further applications of time series analysis to short series of biochemical measure-ments. In: Gräsbeck R, Alstrom T, editors. Reference values in laboratory medicine. New York: John Wiley & Sons, 1981: 167–76.
- Harris EK, Yasaka T. On the calculation of a reference change for comparing two consecutive measurements. Clin Chem 1983; 29: 25–30.
- Albert A, Harris EK. Time series for patient monitoring. In: Multivariate interpretation of clinical laboratory data. New York: Marcel Dekker,Editors' names 1987: 205–41.
- Winkel P. Application of time series analysis in the clinical setting. Scand J Clin Lab Invest 1984; 40 Suppl 222: 47–63.
- Sittig DS, Factor M. Physiological trend detection and artifact rejection: a parallel implementation of a multi-state Kalman filtering algorithm. Comp Meth Progr Biomed 1990; 31: 1–10.
- Schlain BR, Lavin PT, Hayden CL. Using autoregressive and random walk models to detect trends and shifts in unequally spaced tumour biomarker data. Stat Med 1993; 12: 265–79.
- Ellenius J, Groth T, Lindahl B, Wallentin L. Early assessment of patients with suspected acute myocardial infarction by biochemical monitoring and neural network analysis. Clin Chem 1997; 43/ 10: 1919–25.
- Groth T. The role of formal biodynamic models in laboratory medicine. Scand J Clin Lab Invest 1984; 44 Suppl 171: 175–92.
- Groth T. Biodynamic models as they relate to test selection. In: Benson ES, Connelly D, Burke E, editors. Clinics in laboratory medicine, Vol. 2/4. New York: Marcel Dekker, 1982: 701–15.
- Groth T, Hakman M, Sylvén C. Size estimation of acute myocardial infarction from serial serum myoglobin observations with due consideration of individual differences in basic kinetics. Scand J Clin Lab Invest 1984; 44: 65–78.
- Groth T, Hakman M, Sylvén C. Prediction of myocardial infarct size from early serum myo- globin observations. Scand J Clin Lab Invest 1997; 47: 599 — 603.
- van Waeg G, Groth T. Allopurinol kinetics in humans as a means to assess liver function: design of a loading test. Am J Physiol 1989; 257: R237 — 45.
- Groth T, Rosberg S, Albertsson-Wikland K. Estimation of growth hormone secretory patterns in children with use of a numerical deconvolution technique: experimental design with use of com-puter simulation. Horm Res 1994; 42: 245 — 52.
- Wiener F, Groth T, Nilsson U. A knowledge-based system for automatic interpretation of an analytical profile of complement factors. J Clin Lab Anal 1989; 3: 287–95.
- Groth T, Hakman M, Hedlund A, Zaar B. KBSIM/Fluid therapy: A system for opti-mized design of fluid resuscitation in trauma. Comp Meth Program Biomed 1991; 34: 163— 73.
- Strauss E. New ways to probe the molecules of life. Science 1998; 282: 1406 — 7.