Examples of using Regression model in English and their translations into Slovenian
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Medicine
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Colloquial
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Official
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Ecclesiastic
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Financial
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Computer
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Official/political
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Programming
Based on a Cox's regression model.
Regression models in economics and business.
Came out a regression model.
Estimated based on a random coefficient regression model.
The results of regression model assumptions.
Results for endpoint survival using the Cox regression model.
Does a simple linear regression model appear to be appropriate?
The assumptions underlying the classical linear regression model.
Logistic regression models were used for data analysis.
Predicted from the regression model.
A- Logistic regression model adjusted for randomisation stratification variables.
What is a simple linear regression model?
HR and p-values from Cox regression models adjusting for important prognostic factors.
Include prior knowledge in regression model.
The regression model calculates salary values on the position level, as long as there are at least 10 respondents in thedataset for it.
All variables were simultaneously entered into the regression model.
P-value from Cox regression model, stratifying for site of disease and prior anti-adjuvant therapy at screening.
Table 2: Results for endpoint survival using the Cox regression model.
An exploratory multivariate Cox regression model using backward selection indicated that the following baseline prognostic factors were strongly associated with survival independent of treatment: gender, white blood cell count, platelets, body weight loss in the 6 months prior to trial entry, number of metastatic sites, sum of longest diameter of target lesions, Motzer score.
CGPM was adopted using the Cox proportional hazard regression model.
Estimated based on a random coefficient regression model. CI: confidence interval.
The survival curveswere determined by the Cox proportional hazards regression model.
A 2015 study also found cognitive deficits in adults to be associated with joint infection by both T.gondii and Helicobacter pylori in a regression model with controls for race-ethnicity and educational attainment.
In that case these redundantX columns should be omitted from the regression model.
CI= confidence interval, NE= not estimable aPoint estimates are based on Kaplan-Meier method and 95% CIs are based on the Greenwood formula using log-log transformation.bStratified hazard ratio is based on a stratified Cox regression model including treatment as a covariate factor and hemoglobin and corrected serum calcium as strata.
Associations were evaluated using Cox proportional hazards regression models.
The analysis was accomplished with the Cox proportional hazard regression model.
The relative riskswere estimated by Cox's proportional hazards regression model.
All mentioned above information in the Professional Report result from the Regression Model.
All of the above-mentioned information in the Professional Report is a result of the Regression Model.