Sentence examples for multifactorial logistic regression from inspiring English sources

The approach we use here is very similar to the classical approach based on multifactorial logistic regression, which consists of: Step 1: Choice of a model H0 against which the data is compared.

In conclusion, by studying the association between a limited panel of genetic variants and nephropathy risk, we developed a robust multifactorial logistic regression model to predict nephropathy in our study populations.

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].

Multifactorial logistic regression analysis was used to evaluate the effect of different factors on the probability of a child to receive sealant.

Multifactorial cox and logistic regression models were calculated to analyse the impact of perceived social support on mortality and survival time controlled for confounding variables.

The main difficulty is the limitation of the classical linear models and logistic regression with multiple variables to handle the multifactorial effect.

In conclusion, the increased risk for developing a multifactorial disease based upon disease-susceptibility variants with moderate effects was estimated using a logistic regression model assuming multiplicative gene gene interactions.

Logistic regression was performed for estimating the predictors of grade 3/4 toxicity in multifactorial analysis.

A wide variety of LBP risk factors were identified during logistic regression analysis, suggesting that the aetiology of this condition is complex and multifactorial in nature.