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Multivariable linear regression analysis was used to develop a prediction model equation and to validate the developed model.
In addition, discriminant analysis was used to develop a screening model that would allow us to allocate the subjects into an appropriate grouping based on the range of the characteristics to be tested.
Multivariable linear regression analysis was used to develop a prediction model equation for estimating apo B and to validate the developed model.
Multivariate statistical analysis was used to develop a weight for each variable described or quantified.
Parametric analysis was used to develop a cost breakdown for reactors that can compete against future natural gas and coal (with/without carbon capture) and large nuclear systems.
A combination of classification and regression trees with Random Forests analysis was used to develop a classification model for FRI polygons based on patterns of Canada yew abundance, and assess the performance of the model.
Similar(45)
Multiple linear regression analysis was used to develop dose-response relationship for protein combination for dose assessment.
Content analysis was used to develop and rank research categories.
Inductive analysis was used to develop final themes.
System analysis is used to develop application software.
In sum, path analysis may be used to test a causal model using data, but should not be used to develop a model from data.
More suggestions(15)
analysis was used to identify a
analysis was used to establish a
analysis was used to calculate a
analysis was used to select a
analysis was used to display a
analysis was used to assemble a
analysis was used to confirm a
analysis was used to decompose a
analysis was used to fit a
analysis were used to develop a
analysis was used to validate a
analysis was performed to develop a
analysis was used to evaluate a
analysis was used to generate a
analysis was used to estimate a
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