Quantitative Analysis of Exponential Curve Fitting for Biological Applications
- 1 July 1967
- journal article
- research article
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 12 (3) , 379-388
- https://doi.org/10.1088/0031-9155/12/3/310
Abstract
A preliminary quantitative assessment of the ability of two computer programs for fitting the sum of two exponential functions is presented with reference to the errors and number of data points normally encountered in biological investigations. Results suggest that, even in a typical biological investigation with good control of experimental errors, the errors in quantities formed by compounding all the parameters of the function may well exceed ±50% in certain circumstances. These results cast doubt on the usefulness of many compartmental analyses of biological systems where good accuracy is not obtainable and a simple model unacceptable. Error values are given for specific models. For example, the estimates of the errors in calculating grey and white matter blood flow in the brain are 5% and 13% respectively in a typical experiment; the error in estimating bone formation rate by curve analysis could be ±25%.This publication has 5 references indexed in Scilit:
- Algorithm 266: pseudo-random numbers [G5]Communications of the ACM, 1965
- The Analysis of Radio-isotope Clearance Data obtained using Bone Seeking IsotopesPhysics in Medicine & Biology, 1963
- The Routine Fitting of Kinetic Data to ModelsBiophysical Journal, 1962
- A method for curve-fitting by exponential functionsThe International Journal of Applied Radiation and Isotopes, 1960
- FITTING EMPIRICAL DATA*Annals of the New York Academy of Sciences, 1960