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.

How to Interpret Adjusted R-Squared and Predicted R-Squared in Regression Analysis - Statistics By Jim

Multiple Linear Regression - an overview

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence

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

Multiple linear regression

Full article: A Hierarchical Map and Application to Traverse and Unify Analyses Subsumed by Canonical Correlation

Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: A retrospective, multicentre cohort study - eClinicalMedicine

Sustainability, Free Full-Text

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

How to Identify the Most Important Predictor Variables in Regression Models

How to interpret inconsistent Beta values in different steps of hierarchical regression analysis? - Cross Validated

A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions - Bhuwalka - 2023 - Journal of Industrial Ecology - Wiley Online Library

Meta-analysis - Wikipedia

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