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20– 23 Therefore, the purpose of the current study was to present a multifactorial logistical regression model incorporating the involved cervical lymph node level at the time of presentation and epidemiologic data to calculate the probability of an H&N tumor site of origin for patients with SCC confined to the cervical lymph nodes.
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ANOVA, Fisher exact test, and multifactorial logistic regression were used to evaluate statistical significance.
Projections were obtained using statistical analyses: descriptive, multifactorial logistic regression and other statistical methods.
More recently, Easton and colleagues have provided multifactorial logistic regression models to classify UVs in the BRCA genes [ 14].
Multivariate analyses were performed by conditional logistical regression by using a backward elimination model with Logistics (8 ).
The statistical evaluation of the data was carried out via step-wise logistical regression.
Bivariate and logistical regression analyses show that positive treatment dispositions (treatment completion or longer retention in treatment)) were significantly higher among the CMP-matched clients.
A logistical regression model was used to determine the susceptibility of landslide occurrence on an asset by asset basis using input factors derived specifically for man-made earthworks.
An observational analytic study of 60 diabetic type 2. Systematized alcatory sampling, applying a multiple logistical regression analysis (JMP of the SAS Institute program).
Using logistical regression and controlling for other variables, we found that the Administration in control at the time of decision is a statistically significant predictor of removal rates.
Multivariate analysis was performed with a logistical regression model.
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