Examples of using Logistic regression in English and their translations into Greek
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Confidence interval around observed difference of response rates; P-value< 0.0001 from logistic regression model, including stratification factors.
Logistic regression revealed a statistically significant association between nintedanib exposure
Along the specific diploma thesis, the theoretical framework of the Polynomial Logistic Regression method, as well as the ID3, C4_5 and CART Algorithms, is thoroughly presented.
p-value were obtained from a logistic regression model adjusted for baseline ECOG Performance Score(0 versus 1).
IDR a Primary endpoint from logistic regression adjusted for loading dose
non-linear and logistic regression.
This study shows that using a logistic regression analysis makes it possible to find a correlation between response time
Based on logistic regression with treatment effect
Logistic regression and probit regression are more similar to LDA,
Logistic regression, model parameters interpretation, logistic regression inference, the case of categorical predictive variables, multiple logistic regression, model choice,
performs chi-square tests and computes Wald's statistics for the logistic regression coefficients.
This finding was not supported by a stepwise logistic regression analysis in which the following factors were identified as prognostic factors:
For the rest of Europe a multinomial logistic regression model was fitted to ICP-level-I plots using various abiotic factors as predictors(soil, biogeographical zones, and bioindicators derived from temperature
In this talk we will show how machine learning applications(e.g. logistic regression and K-means), based on Spark, can be accelerated
(The name comes from the fact that logistic regression uses an extension of a linear regression model to model the probability of an input being in a particular class.).
In fact, the odds ratio has much more common use in statistics, since logistic regression, often associated with clinical trials, works with the
Not evaluated for statistical significance; not part of sequential testing procedure for the secondary endpoints Logistic regression on FAS(NCF) includes baseline HbA1c,
As such it treats the same set of problems as does logistic regression using similar techniques.
a type of regression known as logistic regression was used to determine the estimated probability of an outcome given latency.
With the application of a complicated statistical analysis(multivariate logistic regression analysis) researchers have shown that the number of small antral follicles in the basic ultrasound,