Fashion leaders aren’t losing margin because they lack creativity, they’re losing it because they lack line‑of‑sight into ...

Genetic information will be increasingly integrated into clinical eye care within the current generation of ophthalmologists. For monogenic diseases such as retinoblastoma, genetic studies have been ...

Sequential causal effect estimation has recently attracted increasing attention from research and industry. While the existing models have achieved many successes, there are still many limitations.

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

\item How can we identify causal effects when we are in the presence of unobserved confounding? One popular way is to find and use \underline{\emph{\textbf{instrumental variables}}} ...

Visit Stata Example File and Python Example File. There is a step-by-step example. This project is licensed under the GNU Affero General Public License v3.0. See LICENSE for details. Note: Commercial ...

We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...

The ISCHEMIA Trial randomly assigned patients with ischemic heart disease to an invasive treatment strategy centered on revascularization with a control group assigned non-invasive medical therapy. As ...

Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...

We leveraged a natural experiment—a fireworks factory disaster which occurred in 2004—in an instrumental variables model to test whether developing a stress-related mental disorder negatively impacts ...