Association of the variants with baseline measurements was tested using standard linear regression, employing additive, dominant, and recessive models, while adjusting for cohort, age, geographic region, and gender.
Multivariate linear regression was employed to obtain r-squared statistics by regressing Year-2 pharmacy charges on the PMs' risk factors.
Linear regression was employed to determine if biodegradation rates were correlated to microbial growth.
Genetic algorithm based multiple linear regression is employed to select optimal subset of descriptors that have significant contribution to the overall SADT property.
To normalize the fundamental parameters, the multiple linear regression is employed to analyze the after-curing unit weight (γt) and total water content (wt), and the power regression is used to analyze the after-curing specific gravity (Gst).
Moreover, Multiple linear regression were employed to observe relationships between demographic indicators (i.e. age of household head, gender of household head, education of household head, family size) loan amount, management attributes and monthly income of target households.
Multivariate linear regression was employed to examine the factor associated with the absolute and relative share of expenditure in couple's annual income on ANCs, delivery care, and TME.
Some numbers of top ranked features were then selected and gradually increased in a multiple linear regression process employed for building a linear quantitative structure-activity relationships (QSARs) for both human and pig FMOs.
To confirm the presence of a relationship between local climate and expression of these processes, linear regression was employed to test for a correlation between absolute latitude and protein expression (Fig. 5c,d).
To evaluate the overall influence of malaria endemicity (as reflected by the cluster P. falciparum prevalence) on cluster U5MR, linear regression was employed; the independent variable was the cluster parasite prevalence as a continuous measure and the dependent variable was the cluster U5MR.
