Sentence examples for multivariate analyses have from inspiring English sources

Multivariate analyses have consistently identified a number of patient, tumor, and treatment variables that are significant prognostic factors for overall survival in patients with high-grade glioma.

However, prognostic models derived from multivariate analyses have had limited predictive power.This study retrospectively analyzed the records of 183 LVAD recipients between May 1996 and October 2009; of these, 27 later required a RVAD RVADD and 156 remained on LVAD only (RVAD until transplant or death.

Multivariate analyses have been shown to be appropriate and helpful tools for grouping forest stands by fertility classes (i.e. soil management zones using the terminology of precision agriculture).

Multivariate analyses have shown a significant increase in rate of polyethylene wear in patients with excellent Harris hip score and younger age [27], and increased rate of wear has been likely related to level of activity in younger patients.

Multivariate analyses have been widely adopted in linkage studies [59], [60], [61], [62], [63], and it has been generally accepted that multivariate analyses outperform univariate analyses in terms of increasing statistical power and precision of parameter estimation [64], [65].

The three parameters identified here using both single parameter and multivariate analyses have been combined into a single predictive equation of the effect of GAGs on the kinetics of amyloid formation.

In multivariate analyses having missed zidovudine doses was positively associated with prenatal illicit drug use (odds ratio, 3.49; 95% confidence interval, 1.30-9.42; P <.05) and missing prenatal vitamins (odds ratio, 2.71; 95% confidence interval, 1.30-5.67; P <.01).

Of the variables chosen for the univariate analyses, four were significant and entered into the multivariate analyses: having two protocols (p = 0.001); an updated review (p<0.0001), number of authors (p = 0.008); and number of primary outcomes (p = 0.002).

In multivariate analyses, having HIV infection and a higher number of sexual partners were associated with cervical HPV infection.

Adjusting for medication use in the multivariate analyses had no significant effect on BMD change either on the DXR-BMD hand or the DXA-BMD hand.

The multivariate analyses has been carried out by merging data from two different exercises and data collectors, thus arguably adding variation (and a degree of error) to the usual limitations.