Examples of using Regression model in English and their translations into Greek
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Colloquial
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Based on a Cox's regression model.
Linear regression models for insurance data.
Do they know anything about regression models?
A Poisson regression model with random effects was used to calculate VE.
The notion of a statistical generating mechanism and regression models.
People also translate
Mixed-effects regression models demonstrated an analgesic response to vaporized cannabis.
Table 2: Results for endpoint survival using the Cox regression model.
P-value from Cox regression model, stratifying for site of disease and prior anti-adjuvant therapy at screening.
Table 3: Results for endpoint survival using the Cox regression model.
Then I tried to fit a regression model, a mathematical technique, to see which songs could be listed as feel-good.”.
The notion of a statistical generating mechanism and regression models.
L If the variables in the regression model are not stationary, then it can be proved that the standard assumptions for asymptotic analysis will not be valid.
Time trends were evaluated using a mixed-effects Poisson regression model.
If the third argument"constant" is set to TRUE,you want the regression model to include the constant b in the previous equation in its model. .
In that case these redundant X columns should be omitted from the regression model.
This course examines applications of linear regression models to Business Administration.
Traditional regression models(whether they are linear, generalized linear or nonlinear) are shown not to naturally capture the inherent dependencies in time series data.
If it is set to FALSE,the multiplicative constant b is excluded from the regression model by forcing it equal to one.
BStratified hazard ratio is based on a stratified Cox regression model including treatment as a covariate factor and haemoglobin and corrected serum calcium as strata.
The LINEST function checks for collinearity andremoves any redundant X columns from the regression model when it identifies them.
A univariable and multivariable random effects Cox regression model, was built based on pre-defined covariates, such as pulp capping material, tooth type, dental arch, gender and age.
The LINEST function checks for collinearity andremoves any redundant X columns from the regression model when it identifies them.
For example, suppose we have a regression model in which cigarette smoking is the independent variable of interest, and the dependent variable is lifespan measured in years.
These include logistic regression, Poisson regression, analysis of'event history' data, and the Cox proportional hazards regression model.
Key secondary endpoint; NE: Not Estimated Hazard ratio(HR)estimated using Cox regression model stratified according to the randomisation FLT3 mutation factor.
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.
These figures are meant to demonstrate characteristics of the observed data in a descriptive manner,not to imply a regression model of the data or other inferential methods.
Then, quasi-Poisson models and Beta regression models are developed for linking road safety management indicators and other indicators(i.e. background characteristics, SPIs) with road safety performance.
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.
A Determined from Cox regression model b P-value of interaction between baseline characteristics and treatment based on Cox regression model c Calcium antagonists with heart rate lowering effects restricted to diltiazem, verapamil and bepridil.