Examples of using Logistic regression in English and their translations into Italian
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Odds ratio and p-value were obtained from a logistic regression model adjusted for baseline ECOG Performance Score 0 versus 1.
Logistic regression can be seen as a special case of generalized linear model and thus analogous to linear regression. .
Table 7 Summary of multivariate logistic regression analysis to identify factors that independently predicted for the presence of EGFR mutations in 786 Caucasian patients.
The analysis was performed using a logistic regression model with treatment as the only factor.
e.g. logistic regression(aka"maximum entropy models"),
Logistic regression analysis, Poisson regression analysis,
Multiple logistic regression analyses identified educational level
This platform supports simple linear regression, logistic regression, ANOVA, ANOM
Wald p-values are quoted for the comparison of treatments using logistic regression with factors for treatment and region.
0.0001 from logistic regression model, including stratification factors.
Use Fit Y by X or Fit Model for nominal or ordinal logistic regression.
P-values compared efalizumab with placebo using logistic regression including baseline PASI score,
This finding was not supported by a stepwise logistic regression analysis in which the following factors were identified as prognostic factors: histological type,
You could fit a logistic regression to this data, and then you could use the resulting model parameters to predict whether new students are going to graduate from college.
This finding was not supported by a stepwise logistic regression analysis in which the following factors were identified as prognostic factors: histological type, bcl-2 positivity at baseline,
loglinear variance or logistic regression(nominal and ordinal).
So, I already ran a multivariable logistic regression analysis, and we can go a long way towards closing the gap on the risk level if Melissa loses 10% to 15% of her weight.
In addition, results from logistic regression analyses of data from patients in the phase 1 trial,
she used features like"de Vaucouleurs fit axial ratio"-and her model was not logistic regression, it was an artificial neural network.
Logistic regression analysis of the risk of myopathy for cerivastatin with concurrent gemfibrozil compared to cerivastatin monotherapy(adjusting for age, gender, diabetes, switching and dose) gave an adjusted odds ratio of 25.5 with a 95% confidence interval of 12.9 to 50.3.