Year: 2025
Type: article
Abstract: The goal of many observational studies in epidemiology and clinical epidemiology is to establish and quantify the magnitude of exposures and risk factors that have a causal relationship to health and social factors. In epidemiology and statistics, the methodology used to establish causal relationships is generally referred to as causal inference. I introduce triangulation, which has been attracting a topic in recent years as a method of causal inference in observational studies. Triangulation is a method to strengthen causal inference by integrating research results obtained from several different statistical approaches. This paper provided an overview of triangulation in epidemiology, its relation to Mendelian randomization analysis in genetic epidemiology studies, examples of studies, and discusses future developments.
Author: 米本, 直裕
Institution: University of Toyama
Language: Japanese
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7072777801