Examples of 'regression using' in a sentence
Meaning of "regression using"
regression using - This term typically refers to the statistical technique of regression analysis, which involves modeling the relationship between a dependent variable and one or more independent variables. It describes the process of analyzing data to understand how changes in the independent variables impact the dependent variable
How to use "regression using" in a sentence
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regression using
Regression using least squares is the most suitable.
This calculation is based on linear regression using the dates recorded for each stage reached.
Regression using autosuggestion and using body posturing are two.
We performed a gross and adjusted analysis by Poisson regression using a hierarchical model.
Logistic regression using this notation.
Inhibition data were analyzed by nonlinear least-squares regression using SigmaPlot.
Weighted regression using replicate sample size as weight is generally advised.
Inhibition data were analyzed by non-linear least-squares regression using SigmaPlol.
Applied to multiple regression using the median of the variables studied.
Concentration-response curves were determined by non-linear regression using least squares fitting.
Tutorial of Kernel regression using spreadsheet with Microsoft Excel.
Primary data analysis was conducted by mixed-model regression using all available data.
Accordingly, we redid the regression using a much narrower definition of the francophones and anglophone groups.
The coefficient of correlation, r, was determined by linear regression using a computer software program.
A logistic regression using the 12 root characteristics strongly distinguished between planted and naturally regenerated trees.
See also
The competitive assays were analyzed by non-linear regression using the GraphPad programme.
Logistic regression using of all theoretical model pre-defined variables, was corried out in a non-conditional way.
An improvement was suggested in the form of nonlinear regression using a feed-forward neural network model.
Kinetic parameter estimates, Kinetic parameters were estimated by simultaneous nonlinear least-square regression using Eq.
The Cox proportional hazards regression using R gives the results shown in the box.
The compounds IC50 values were calculated analyzing inhibition curves by non-linear regression using GraphPad Prism.
So, now let us do the simple regression using active years to predict endurance.
IC50 values were obtained by non-linear regression using SAS.
Data is analysed by non-linear regression using the LIGAND program, and presented as Ki values.
Competition binding curves are analyzed by non-linear regression using GRAPHPAD PRISM.
Data was analyzed by non-linear regression using GraphPad Prism to determine the EC50 of binding.
The second columns of Table 3.10 presents the results from the regression using all these controls.
Data were analyzed by nonlinear regression using the data analysis program Enzfitter ( Elsevier-Biosoft ).
The temperature coefficient λ is then varied until the linear regression using equation ( 7 ) is optimal.
Estimation equations are developed by regression using data collected on crowns of 593 felled trees.
The inhibition curves were analysed by non-linear regression using GraphPad Prism, USA.
Binding data were analyzed by non-linear regression using a heterologous competition model Wang, 1995, FEBS Lett.
Inhibition data were analyzed by non-linear least-squares regression using SigmaPlot . Results.
IC50 values were obtained by non-linear regression using InPlot, GraphPad software on an IBM computer.
IC50 values were calculated by non linear regression using XLfit ( IDBS ).
Experimental data were fitted by nonlinear regression using the following equation, EPMATHMARKEREP.
Pharmacokinetic analysis of data is performed by non-linear regression using RStrip ( MicroMath Software, UT ).
The results were analyzed by nonlinear regression using graphpad prism 5.0 software.
Abstract, The present PhD deals with nonparametric regression using repeated measurements data.
EC50 values were analysed by non-linear regression using GraphPad software.
The IC50 may be determined by nonlinear regression using two control reactions.
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Examples of using Using
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