Sentence examples for several different regression from inspiring English sources

Several different regression analyses are performed, and also different segments are analyzed.

These relationships fit several different regression models (1 untransformed linear, 4 transformed linear, 3 quadratic, and 8 cubic; Figure 2).

12 In that evaluation the performance of several different regression models was considered over an extensive range of meta-analytical and publication bias scenarios.

We examined the relationship between PBDEs and diet using several different regression models: vegetarians and non vegetarians as defined by the 24FR or the FFQ; total daily fat intake (uncategorized by food type); tertiles of daily fat intake (categorized by food group in accordance with 24FR data); and tertiles of daily servings (categorized by food group in accordance with FFQ data).

Several different penalized regression schemes have been proposed, including ridge regression (Hoerl & Kennard, 2000), bridge regression (Frank & Friedman, 1993), and the LARS/LASSO (for least angle regression/least absolute shrinkage and selection operator) family of approaches developed by Efron et al. (2004).

The tables in the main paper showing OR figures are each derived from the results of several different logistic regression analyses in each of the three countries.

Several different logistic regression analyses were performed so that changes in parameter estimates with the addition of selected covariates could be examined.

Recently, several different tumour regression scales (Mandard et al, 1994; Dworak et al, 1997; Bouzourene et al, 2002; Wheeler et al, 2004) have been proposed for the measurement of regression after preoperative therapies independent of the ypTNM stage.

Although many genes in addition to p53 are mutated in tumors, recent studies by Ventura et al. (2007) and Xue et al. (2007) suggest that restoring p53 function alone is sufficient to cause regression of several different tumor types in mice and thus might represent a potent therapeutic strategy to treat certain human cancers.

These models allow regression of several different statistical distributions like Gamma or Binomial.

Although not a major focus of this report, we compared several different statistical models including ANOVA, negative binomial regression, Poisson regression, and a Bayesian implementation of the modulated t-test that had originally been developed for microarray analysis (LIMMA).