Hierarchical Multiple Regression Analyses - Predictors of PTS

A hierarchical multiple regression analysis was performed in order to examine the predictor variables of posttraumatic stress and to test the Hypothesis 1 of the present study.

PDF] A Step-Down Hierarchical Multiple Regression Analysis for Examining Hypotheses About Test Bias in Prediction

A simplified integrated molecular and immunohistochemistry-based algorithm allows high accuracy prediction of glioblastoma transcriptional subtypes - Laboratory Investigation

5.1 The linear model Forecasting: Principles and Practice (2nd ed)

Meta-analysis - Wikipedia

Sustainability, Free Full-Text

Summary of hierarchical regression analysis for variables predicting

Frontiers Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning

TC - Modelling point mass balance for the glaciers of the Central European Alps using machine learning techniques

Estrés, evaluación cognitiva y burnout en técnicos sociales de casas de acogida

Machine Learning–Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease

12.3 - Highly Correlated Predictors