Research Topic · Peer-Reviewed

Regression Analysis

Regression analysis is a set of statistical methods for modelling the relationship between a dependent (outcome) variable and one or more independent (explanatory) variables. It estimates the form and strength of these associations, quantifies how the outcome changes as predictors vary, and supports both explanation…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 124× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

Regression analysis is a set of statistical methods for modelling the relationship between a dependent (outcome) variable and one or more independent (explanatory) variables. It estimates the form and strength of these associations, quantifies how the outcome changes as predictors vary, and supports both explanation and prediction. Linear regression models continuous outcomes, while logistic regression handles binary outcomes, and extensions such as multiple regression, time-series and dynamic harmonic regression, and correlation-based modelling accommodate multiple predictors and temporal structure. Valid application depends on meeting model assumptions, controlling for confounding, assessing goodness of fit, and interpreting coefficients and their confidence intervals appropriately, with care taken to distinguish association from causation. The research in this area applies regression and correlation methods to associations between obesity and skeletal muscle mass, time-series forecasting of pandemic dynamics, relationships in water-quality and wastewater parameters, predictors of cardiovascular and metabolic risk, determinants of agricultural performance and employment, and the link between syntactic complexity and writing quality. Regression analysis matters because it isolates the contribution of individual factors within complex, multivariable systems, providing the quantitative basis for risk estimation, prediction, and evidence-based decision-making across the health, environmental, economic, and behavioural sciences. The journal publishes peer-reviewed research employing regression-based modelling across these fields.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2019

Variation of Ethnomycological Knowledge in a Community from Central Mexico

Bello-Cervantes EribelCorresponding author
Posgrado en Ciencias Biológicas, Instituto de Geografía, Universidad Nacional Autónoma de México. Circuito exterior, Ciudad Universitaria, Apartado Postal 04510, Ciudad de México.
Exact topic Fungal Diversity Cited by 16 doi:10.14302/issn.2766-869X.jfd-19-2718

How this research is being cited

The 12 articles above have been cited 124 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Regression Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.