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These overall values were fitted using a logistic equation with four parameters in a scientific data analysis and graphing software (Sigma Plot 12.5, Systat, San Jose, USA).
Nutrient consumption and mycotoxin production were fitted using a logistic equation with four parameters in a scientific data analysis and graphing software (Sigma Plot 9.0, Systat, San Jose, USA).
Glucose consumption and biomass production were fitted using a logistic equation with four parameters in a scientific data analysis and graphing software (Sigma Plot 9.0, Systat, San Jose, USA).
Consumption of carbon and nitrogen sources as well as formation of the three mycotoxins were monitored; the average data of five independent fermentations was plotted and fitted using a logistic equation with four parameters.
In their study Wittgens et al. (2011) described biomass growth using a logistic equation and glucose metabolization as well as rhamnolipid formation using biomass dependent ordinary differential equations (ODEs).
Dose response curves were fitted to the data using the sigmoidal fitting function of the program Origin (Microcal), using a logistic equation and a log10 scale for the concentration of Latrunculin B. The half maximal inhibitory concentration (IC50) was estimated from these fits.
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In parallel, daily above-ground biomass production (NPPshoot) was estimated using a logistic growth equation, fitted on periodic biomass samples.
The IC50 values were estimated by fitting the inhibition data to a dose-dependent curve using a logistic derivative equation.
Net carbon exchange rate and stomatal conductance were fitted to the shoot water potential data using a logistic function (Equation 1).
The predicted probability of surgery was calculated for each patient using a logistic regression equation derived from three items assessing the patient's values.
Associations between smoking abstinence and treatment groups were estimated using a logistic generalized estimating equation (GEE).
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