Improved non-parametric statistical methods for the estimation of Michaelis-Menten kinetic parameters by the direct linear plot
- 1 February 1977
- journal article
- research article
- Published by Portland Press Ltd. in Biochemical Journal
- Vol. 161 (2) , 293-302
- https://doi.org/10.1042/bj1610293
Abstract
The theoretical basis for the direct linear plot [Eisenthal & Cornish-Bowden (1974) Biochem. J. 139, 715-720], a non-parametric statistical method for the analysis of data-fitting the Michaelis-Menten equation, was reinvestigated in order to accommodate additional experimental designs and to provide estimates of precision more directly comparable with those obtained by parametric statistical methods. Methods are given for calculating upper and lower confidence limits for the estimated parameters, for accommodating replicate measurements and for comparing the results of two separate experiments. Factors that influence the proper design of experiments are discussed.This publication has 7 references indexed in Scilit:
- AN ANALYSIS OF THE DEPRESSOR RESPONSES TO HISTAMINE IN THE CAT AND DOG: INVOLVEMENT OF BOTH H1‐ AND H2‐RECEPTORSBritish Journal of Pharmacology, 1975
- Statistical considerations in the estimation of enzyme kinetic parameters by the direct linear plot and other methodsBiochemical Journal, 1974
- The Statistical Analysis of Enzyme Kinetic DataPublished by Wiley ,1967
- STATISTICAL ANALYSIS OF ENZYMIC STEADY-STATE RATE DATA1960
- Tables for use in rank correlationStatistica Neerlandica, 1953
- THE DISTRIBUTION OF KENDALL'S τ COEFFICIENT OF RANK CORRELATION ON RANKINGS CONTAINING TIESBiometrika, 1947
- Individual Comparisons by Ranking MethodsBiometrics Bulletin, 1945