<p>Diagram of causal relationships between genetic variants, risk factors (low-density lipoprotein cholesterol, LDL-c; high-density lipoprotein cholesterol, HDL-c; and triglycerides), confounders, and disease (coronary artery disease, CAD). Although confounders (common causes of a risk factor and the outcome) are represented as a single variable for simplicity, each risk factor may have a different set of confounders.</p
<p>The left panel shows the correlation structure between total cholesterol (CHOL) and low-density l...
<p>Boxes represent variables and arrows represent suggested causal links going from a cause to an ef...
Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...
The issue of confounding, and the bias it can induce, is a key concern in epidemiology, and yet ther...
(A) Conditioning on disease incidence induces the association between a previously independent casua...
Conditioning on disease incidence induces the association between previously independent causal risk...
<p>An example based upon the report of Lintel-Nietschke et al. (2008) <a href="http://www.plosmedici...
<p>Association of coronary artery disease (CAD) risk-increasing alleles of 185 genetic variants with...
<p>X and Y are two correlated phenotypes (the DNA methylation level at a CpG site and a biomarker le...
AbstractUnderstanding causal relationships among large numbers of variables is a fundamental goal of...
This research project aims to create a causal map that not only shows the potential risk factors of ...
Previous Mendelian randomization studies have suggested that, while low-density lipoprotein choleste...
The combination of systems biology and large data sets offers new approaches to the study of cardiov...
In respiratory health research, interest often lies in estimating the effect of an exposure on a hea...
Abstract: From their inception, causal systems models (more commonly known as structural-equations m...
<p>The left panel shows the correlation structure between total cholesterol (CHOL) and low-density l...
<p>Boxes represent variables and arrows represent suggested causal links going from a cause to an ef...
Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...
The issue of confounding, and the bias it can induce, is a key concern in epidemiology, and yet ther...
(A) Conditioning on disease incidence induces the association between a previously independent casua...
Conditioning on disease incidence induces the association between previously independent causal risk...
<p>An example based upon the report of Lintel-Nietschke et al. (2008) <a href="http://www.plosmedici...
<p>Association of coronary artery disease (CAD) risk-increasing alleles of 185 genetic variants with...
<p>X and Y are two correlated phenotypes (the DNA methylation level at a CpG site and a biomarker le...
AbstractUnderstanding causal relationships among large numbers of variables is a fundamental goal of...
This research project aims to create a causal map that not only shows the potential risk factors of ...
Previous Mendelian randomization studies have suggested that, while low-density lipoprotein choleste...
The combination of systems biology and large data sets offers new approaches to the study of cardiov...
In respiratory health research, interest often lies in estimating the effect of an exposure on a hea...
Abstract: From their inception, causal systems models (more commonly known as structural-equations m...
<p>The left panel shows the correlation structure between total cholesterol (CHOL) and low-density l...
<p>Boxes represent variables and arrows represent suggested causal links going from a cause to an ef...
Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...