Methods of Information in Medicine, Table of Contents Methods Inf Med 1991; 30(02): 102-107DOI: 10.1055/s-0038-1634829 Clinical Application Schattauer GmbH Robust Trend Analysis in Predicting Histamine Provocation Concentration Authors Author Affiliations E. Krusińska 1 Institute of Computer Science, University of Wroclaw, Poland J. Liebhart 2 Department of Internal Diseases and Allergology, Medical Academy of Wroclaw, Poland M. Woźniak 1 Institute of Computer Science, University of Wroclaw, Poland Recommend Article Abstract Buy Article(opens in new window) Abstract Trend analysis is used to predict the histamine provocation concentration PC20 during the so-called challenge test, where increasing doses of the bronchoconstricting agent are given to a patient and the spirometric examination is subsequently performed. Classical least-squares analysis of trends as well as least absolute deviations analysis are compared. The results are interesting and promising from a statistical as well as medical point of view. The methods presented can be applied to many practical problems in medicine. Key-Words Key-WordsHistamine Test - L1-estimation - Prediction - Provocation Concentration PC20 - Trend Analysis Full Text References REFERENCES 1 Pepys J, Hutchcroft BJ. Bronchial provocation tests in etiologic diagnosis and analysis of asthma. Amer Rev Resp Dis 1975; 112: 829-59. 2 Chai H, Farr RS, Froehlich LA. et al. Standardization of bronchial inhalation procedures. J Allergy Clin Immunol 1975; 56: 323-7. 3 SEPCR Working Group on Bronchial Hyperreactivity. In: Elser NM, Korrabiju KF, Quanjer PH. eds Guidelines for standardization of bronchial challenges with nonspecific bronchoconstricting agents. Bull Europ Physiopath Resp 1983; 19: 495-514. 4 Krusińska E, Liebhart J, Woźniak M. A trial of predicting the histamine provocation dose during challenge test. In: Abstracts of the 10th International Meeting on Clinical Biostatistics. Maastricht; The Netherlands: September 1989: 74. 5 Liebhart J, Krusińska E. Analysis of FEV1 changes during challenge test as the First step for constructing subsequent histamine concentration model. In: Scientific Contributions of the Institute of Electrical Metrology, Technical University of Wroclaw Series: Conferences No 14, 1988. 31 69-73. (in Polish). 6 Späth H. Clusterwise linear least squares versus linear absolute deviations regression: a numerical comparison for a case study. In: Gaul W, Schader M. eds. Classification as a Tool of Research. Amsterdam: North-Holland; 1986: 413-22. 7 Kamburoff PF, Woitowicz HI, Woitowicz RH. Prediction of spirometric indices. Resp News Bull 1973; 17: 1. 8 Winer BJ. Statistical Principles in Experimental Design. London: McGraw Hill; 1970 9 Plackett RL. Regression Analysis. Oxford: 1960 10 Ralston A. A First Course in Numerical Analysis. New York: McGraw Hill; 1965 11 Antoch J, Bartkowiak A, Pekalska J. Computing L1-norm, α-trimmed and a-win-sorized regression on the ODRA 1305 computer. Report N-159, Institute of Computer Science; University of Wroclaw: March 1986 12 Barrodale J, Roberts FDK. An improved algorithm for discrete L1norm approximation. SIAM J Num Anal 1973; 10: 839-48. 13 Barrodale I, Roberts FDK. Solution of overdetermined system of equations in L1-norm. CADM 1974; 19: 319-20. 14 Rao CR. Linear Statistical Inference and its Applications. New York: Wiley & Sons; 1965 15 Liebhart J, Karkowski Z, Liebhart E, Mafolepszy J. Error characterization in spirometry and an attempt of classification. Probl Techn Med 1986; 17: 113-23. (in Polish). 16 Senn SJ. The use of baselines in clinical trials of bronchodilators. Statist in Med 1989; 08: 1339-50. 17 Senn SJ. Oral discussion to [4]. The 10th International Meeting on Clinical Biostatistics. Maastricht; The Netherlands: September 1989
