An algorithm for finding the linear region in a nonlinear data set

Computers in Biology and Medicine

Volumn 29, Issue 5, 1999, Pages 289-301

  Kroll, Martin H ^a   Emancipator, Ken ^b   Floering, David ^c   Tholen, Daniel ^d  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b Department of Pathology   (United States)

^c CHRIST HOSPITAL   (United States)

^d Statistical Consulting   (United States)

Author keywords

Accuracy; Linear; Nonlinear; Reportable range

Indexed keywords

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; CLINICAL CHEMISTRY; DATA ANALYSIS; LINEAR SYSTEM; PRIORITY JOURNAL;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; HUMANS; HYDROCORTISONE; LINEAR MODELS; MATHEMATICAL COMPUTING; MODELS, THEORETICAL; NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 0032806055     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(99)00011-6     Document Type: Article

References (4)

1. Kroll M.H., Emancipator K. A theoretical evaluation of linearity. Clin. Chem. 39:1993;405-413.
2. Draper, N.R., Smith, H. Applied Regression Analysis. Second ed. John Wiley and Sons, New York, 1981, pp. 33-42, 102-107, 117-121, 294-313.
3. Mandel J. Statistical analysis of experimental data. 1964;Dover Publications, Inc, New York. pp. 164-165.
4. Emancipator K., Kroll M.H. A quantitative measure of nonlinearity. Clin. Chem. 39:1993;766-772.