Примери за използване на Regression model на Английски и техните преводи на Български
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Colloquial
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
The regression model can be;
Based on a Cox's regression model.
A Poisson regression model with random effects was used to calculate VE.
Estimated based on a random coefficient regression model.
How does the regression model work in practice?
Assess the overall statistical significance of the regression model.
P-value a a Logistic regression model adjusted for randomisation stratification variables.
Results for endpoint survival using the Cox regression model.
The regression model takes into account salary calculation inputs based on the following parameters.
The ridit score was then entered as an independent variable in the regression model.
Goodness of fit of the response data to the regression model should be assessed either graphically or statistically.
All mentioned above information in the Professional Report result from the Regression Model.
P-value from Cox regression model, stratifying for site of disease and prior anti-adjuvant therapy at screening.
All of the above-mentioned information in the Professional Report is a result of the Regression Model.
So as you can see, with our independent regression model, that our numbers aligned within three percent of Brenda's.
P-value is based on the stratified log-rank test.†Hazard ratio is based on a stratified Cox's proportional hazard regression model.
Statistical analysis was performed with a multivariate log linear regression model to evaluate the correlation between variables.
The salary data from questionnaireswho have gone through the process of cleansing, enter into the dataset for the 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.
The salary data from questionnaires which have gone through the cleansing process then enter into the dataset for the Regression Model.
Oh, it's just'cause I've, you know, analyzed you using my very powerful regression model and there's an 87% likelihood that we are gonna sleep together, so.
By sequential use of the regression model and optimization, values representing the local specificities of the individual member-state towards the Union have been reached.
Demonstrates how to use Partial Least Squares to fit a(multiple and multivariate)linear regression model from high-dimensionality data.
Mauro also developed a regression model, which shows inverse relation between the level of corruption and the level of funds set aside for education and healthcare.
Confidence interval around observed difference of response rates; P-value<0.0001 from logistic regression model, including stratification factors.
HR is based on a Cox regression model(with treatment as the only covariate) stratified by PSA doubling time and prior or concurrent use of a bone targeting agent.
HR(active/placebo) and CI are based on Cox proportional hazards regression model, stratified by prior CV event, with treatment group only as explanatory variable.
The regression model is determined through the least squares method, which provides the best approximation of the result estimate, determined through the regression equation, to its factors.
A pre-specified sensitivity analysis using the negative binomial regression model treatment showed a statistically significant difference of -14.2%rate ratio: 0.86; 95% CI.
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.