Examples of 'non-linear regression' in a sentence
Meaning of "non-linear regression"
non-linear regression: This phrase refers to a statistical method used to model the relationship between variables where the response variable does not vary in direct proportion to the predictors, resulting in a curve rather than a straight line in the regression analysis
How to use "non-linear regression" in a sentence
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non-linear regression
Multiple linear or non-linear regression analysis.
Note that background fluorescence is subtracted prior to non-linear regression.
A procedure based on non-linear regression is appropriate for this determination.
The parameters are optimized by a non-linear regression.
Analysis is performed by non-linear regression to generate a dose response curve.
Analysis of enzyme progress curves by non-linear regression.
Analysis was performed by non-linear regression to generate a dose response curve.
The binding isotherms are analysed by non-linear regression.
It is determined by non-linear regression analysis and calculated as a concentration at middle of curve.
Establish a calibration curve using non-linear regression.
We used the model of non-linear regression of brody with different configurations of models.
Individual replicates were analysed using non-linear regression.
Sometimes a non-linear regression can be expected to better reflect the true relationship.
The result of this non-linear regression is.
Maturity functions were calculated for each of the three datasets by non-linear regression.
See also
This can be done by known non-linear regression algorithms.
Radioactivity is measured by scintillation counting, and data are analyzed by a computerized non-linear regression program.
The competitive assays were analyzed by non-linear regression using the GraphPad programme.
Non-linear regression works when the correlation relationship is something other than a straight line.
The results are analyzed by non-linear regression analysis.
Non-linear regression analysis was carried out of the compound 's concentration versus parasitic hypoxanthine incorporation.
The results are analysed by non-linear regression analysis.
Concentration response data for drugs is analysed using a 4 parameter equation fitted by non-linear regression.
The data is analyzed using non-linear regression analysis.
Averaged data from each group were fitted to an exponential growth curve using non-linear regression.
This was then analyzed by non-linear regression methods in terms of various standard binding models.
A regression can be a linear regression or a non-linear regression.
In one embodiment, the non-linear regression is performed using inverse polynomial second order functions.
The data were fitted to a hyperbolic curve by non-linear regression.
Non-linear regression analysis was performed with GraphPad Prism.
In both cases the data were analysed by non-linear regression.
Non-linear regression fittings were calculated using the program GraphPad Prism.
The regression analysis may be a linear or a non-linear regression analysis.
Non-linear regression analysis of the binding curves was performed in GraphPad Prism.
So, it requires a special estimation method of the non-linear regression procedure.
Data is analysed by non-linear regression using the LIGAND program, and presented as Ki values.
From the experiments the parameters are estimated using a non-linear regression model.
Binding data were analyzed using the non-linear regression procedure described above to determine Ki values.
Individual concentration-effect curves were fitted into a curve by use of non-linear regression analysis.
The non-linear regression model was fit for each drug and dose normalized daily DI values.
Concentration-response curves were determined by non-linear regression using least squares fitting.
The spectrum obtained is broken down into 4 component Gaussian curves by deconvolution and non-linear regression.
Competition binding curves are analyzed by non-linear regression using GRAPHPAD PRISM.
Non-linear regression of plot defoliation data from the Subatlantic region, Picea abies.
The terminal elimination phase rate constant ; calculated using non-linear regression analysis.
Non-linear regression analysis of the binding curves was performed in GraphPad Prism . Membrane Preparation.
Another transformation might reduce so called curvature effects in the non-linear regression algorithm.
Multiple non-linear regression analysis.
We propose a resolution of the inverse problem base on this model and a non-linear regression algorithm.
Non-linear regression of velocity data is performed to calculate IC50s.
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