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In order to estimate the wage difference attributable to union coverage, we use a regression model to control for industry and worker demographic characteristics (see Appendix 2 for a detailed description of data sources and methods).
The primary objective is to use a regression model to analyze the data set aiming to check which parameters are necessary to achieve high accuracy in the diagnosis of neurodegenerative disorders.
It is recommended to abandon the fixed ANOVA model for the study of interaction effects and use a regression model with assessed level values of each independent variable instead.
When a response variable cannot be adequately represented by a single polynomial function of the input variable over the entire experimental region, a possible solution is to use a regression model, termed the mixture polynomial with spline, which consists of grafted polynomial submodels.
We take a first step in the subsequent sections and use a regression model to explore some of these implications.
We use a regression model with the propensity score as the single predictor to adjust for the imbalance in observed covariates.
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Using a regression model, I accounted for individual team strength.
We used a regression model to control for the effects of density dependence shifts (i.e., based on starting abundances of stems) and temporal autocorrelation.
The scour depth below the pipeline was determined using a regression model with five dimensionless parameters.
The lifetime at the design stress is then estimated through extrapolation using a regression model.
The WTP is tested by using a regression model relating WTP to all socio-demographic variables.
More suggestions(15)
use a logit model
use a rat model
use a matting model
use a topic model
use a regression framework
use a regression imputation
use a subscription model
use a simulation model
use a regression collective
use a regression regression
use a file model
use a leasing model
use a compartment model
use a Tobit model
use a library model
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