Research Topic · Peer-Reviewed

Instrumental Variable Analysis

Instrumental Variable Analysis is a methodology for solving regression models when the independent variables are not directly observed. The approach involves isolating a set of “instruments”, variables that have an effect on the independent variables of interest, but are independent of any other factors that could i…

Curated from this journal's research 📚 1 peer-reviewed article cited 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Instrumental Variable Analysis is a methodology for solving regression models when the independent variables are not directly observed. The approach involves isolating a set of “instruments”, variables that have an effect on the independent variables of interest, but are independent of any other factors that could influence the results. This technique is used by researchers for a range of applications, including understanding causation, uncovering hidden associations, and improving predictions. Instrumental Variable Analysis provides an efficient and reliable way to identify relationships and uncover patterns that may be difficult to observe in the raw data. It is an important tool to help researchers draw meaningful conclusions from their data.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

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.