Therefore, like Mackenbach and colleagues (Mackenbach et al., 2017), we estimate multivariate linear regression models with the Rate Ratio of educational inequality as the dependent variable, inequalities in political participation as the primary independent variable, and a series of potentially ...
The linear mixed models were performed with the lme4 R package (v 1.1-31). The multivariate SPLS models were performed with the caret R package (v 6.0-92). P values were corrected for multiple testing by the Benjamin–Hochberg false discovery rate (q value). Features with q < 0.1 ...
Method: The study examines data from three nationally representative surveys conducted in 2008, 2013, and 2018 via the Nigeria Demographic and Health Survey (NDHS) program. Using a non-linear multivariate decomposition analytical technique (mvdcmp) recommended by Powers and colleagues in 2011, four ...
We utilized partial least squares regression analysis (PLSR) as the appropriate multivariate technique to analyze numerous potential explanatory variables for species with a limited number of individuals. PLSR identifies components that are linear combinations of many correlated predictors and can maximize th...
First, data were screened for multivariate outliers by means of Mahalanobis distances. Two participants from the parent condition were subsequently excluded, resulting in n = 65 tutees in the parent condition and n = 64 in the volunteer condition. Second, descriptive analyses and group comparisons ...
The singular value decomposition (SVD) is a factorization method that decomposes a matrix into three constituent matrices. Given a {eq}m \times n... Learn more about this topic: Multivariate Experimental Design from Chapter 12/ Lesson 11 ...
Logistic regression allows to infer from the available data, the relationship that exists between the features of an input sample and the respective predicted class, based on the odds of membership to one class with respect to all others. Random Forest is an ensemble learning method which ...
List some of the ways Multivariate linear regression of the data are useful. Identify three examples of discrete variables in a company. How do those variables affect the workplace, product, or personnel? How would changes in those variables affect the...
(2021) utilized a multivariate modeling strategy and found that clustering addresses within their owners rendered relationships between land use categories and crime statistically insignificant, suggesting that place managers are crucial to understanding crime differences across micro-places. Formalizing the ...
The study was performed using a combination of open-source softwares for genomic and multivariate statistical analysis, all cited within the Methods section. In-house scripts used to analyse data are available on Figshare at 10.6084/m9.figshare.24975591. ...