Curve fitting was performed by using a four parametric nonlinear regression (HILL equation) of each separate IGFBP.
A coefficient of variation of 0.1 and a lower standard deviation threshold of 0.1 TU was used here in order not to lose the effect of low concentrations in the regression (Hill and Tiedeman 2007).
MHVS, Mill Hill Vocabulary Scale Regression analyses of cognitive function at year 4 were adjusted for age and sex; those of 4 year cognitive change were adjusted for baseline cognitive scores, age and sex, before myocardial infarction, angina, transient ischaemic attack, stroke ('vascular disease') and duration of diabetes, and Mill-Hill Vocabulary were controlled for in two separate steps.
Gelman, A. & Hill, J. Data Analysis Using Regression and Multilevel/Hierarchical Models (Cambridge Univ. Press, Cambridge, 2006).
Regression to Hill equation (solid line) resulted in an apparent dissociation constant of ∼0.8% mole fraction brain PIP2 and a Hill coefficient of ∼2.4.
Gelman, A. & Hill, J. Data analysis using regression and multi-level/hierarchical models 625 (Cambridge Univ. Press, 2007).
From the concentration-displacement curves IC50 values were determined by nonlinear regression analysis using Hill equation curve fitting.
Bottom, double-logarithmic plot; data points for [Ca2+]o ≤ 2 mM were analyzed by linear regression, yielding a Hill coefficient of 3.02 in the low concentration limit.
Data were fitted to a dose response curve using standard nonlinear regression, adapting a Hill equation with Grafit software (Erithacus Software, Ltd., Horley, UK) to obtain 50% inhibitory concentration (IC50) values.
Sigmoidal dose-response curves were generated by nonlinear regression fitted to Hill equation to compute maximum effect (Emax), slope (N), and the effective dose reaching 50% of the Emax (ED50).
