Revealing Causal Heterogeneity Using Time Series Analysis of Ambulatory Assessments

Abstract

Vector autoregressive models are suitable in revealing causal heterogeneity and can be easily used to analyze ambulatory assessments. We suggest that these models might bridge the gap between science and clinical practice by translating epidemiological results to individual patients.