Examples of using Regression model in English and their translations into Swedish
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Medicine
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Official
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Ecclesiastic
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Ecclesiastic
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Official/political
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Computer
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Programming
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Political
Non-linear regression models.
Results for endpoint survival using the Cox regression model.
Formulate a multiple linear regression model for a concrete problem.
fitting Logistic Regression models.
Train logistic regression models, trees and ensembles on any amount of data.
Vælg‘lineær' under regression model.
A- Logistic regression model adjusted for randomisation stratification variables.
Estimate the parameters in the regression model and interpret them.
we will use a regression model.
Specify and estimate linear regression models and discrete choice models. .
Explain and motivate the theory behind linear and non-linear regression models.
Discuss and compare linear regression models and discrete choice models
Settling in dynamically loaded screw joints are analyzed and formulated into a regression model.
For this example, we will train a simple linear regression model, and in the next step, we will test it.
In this work, regression models for the wake field entering a propeller at certain axial andnominal position have been proposed.
linear regression model from high-dimensionality data.
The course covers different types of regression models and cluster analysis, focusing on their application in geographical analysis.
Confidence interval around observed difference of response rates; P-value< 0.0001 from logistic regression model, including stratification factors.
A multiple linear regression model is used as a method to suggest the relationship between themacroeconomic factors and the default frequency.
The results from this project showed great potential in developing regression models based on data extracted from controlled experimental designs.
The Cox proportional hazards regression model was used to compare long-term survival in patients who were treated conservatively versus survival in patients treated with either radiotherapy or radical prostatectomy.
theoretical skills in multivariate data analysis, regression models, data compression
An exploratory multivariate Cox regression model using backward selection indicated that the following baseline prognostic factors were strongly associated with survival independent of treatment:
XY data can be modelled using a toolbox of linear regression models, nonlinear regression models, interpolation, or splines.
Also fits a multiple linear regression model for comparison purposes, and performs chi-square tests
information from land-use regression models[1]- 41 cohorts in 16 countries,
As a rule, the superiority of one regression model or distribution over another has been evaluated with the Akaike Information Criterion(AIC).
Conduct an advanced analysis of microeconomic problems- specify a regression model that allows testing for the occurrence of a link between economic variables.
The thesis used descriptive analyses and logistic regression models to describe and explore the relationship between employment status,
A pre-specified sensitivity analysis using the negative binomial regression model treatment showed a statistically significant difference of -14.2% rate ratio: