Reverse Causality in Cardiovascular Epidemiological Research

Using genetic variation for establishing causality of cardiovascular risk factors: overcoming confounding and reverse causality

Cardiovascular disease (CVD) remains the leading cause of death in developed countries, despite the decline of CVD mortality over the last two decades. From observational, predictive research, efforts have been made to find causal risk factors for CVD. However, in recent years, some of these findings have been shown to be mistaken. Possible explanations for the discrepant findings are confoundi...

Proof of causality: deduction from epidemiological observation.

Introduction to Competing Risk Model In the Epidemiological Research

Background and aims: Chronic kidney disease (CKD) is a public health challenge worldwide, with adverse consequences of kidney failure, cardiovascular disease (CVD), and premature death. Chronic kidney disease leads to the end stage of renal disease (ESRD), if late/not diagnosed. Competing risk modeling is a major issue in Epidemiology research. In Epidemiology study, sometimes inappropriate met...

Asymptotic Bias of OLS in the Presence of Reverse Causality

In this paper, I derive an expression for the asymptotic bias in the OLS estimator of the partial effect of a regressor on the dependent variable when there is reverse causality and all variables in the model are covariance stationary. I show that the sign of the asymptotic bias depends only on the signs of the bi-directional causal effects. JEL Codes: C10, C30.

A Test for Reverse Causality in the Democratic Peace Relationship*

Several studies have suggested the possibility of reverse causation in the ‘democratic peace’ relationship: that the well-known extreme rarity of wars between democratic nations may be partially or wholly explained by a negative impact of war on democracy. Three kinds of war-on-regime effects are discussed. Anterior effects are regime changes that occur in preparation for wars; concurrent effec...