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 ...
Abstract: Treatment effect estimation from observational data is a fundamental problem in causal inference, and its critical challenge is to address the confounding bias arising from the confounders.
Nobel laureate Lars Peter Hansen, the David Rockefeller Distinguished Service Professor in Economics and Statistics at the University of Chicago, shared the Sveriges Riksbank Prize in Economic ...
Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...
This chapter synthesizes and critically reviews the modern instrumental variables (IV) literature that allows for unobserved heterogeneity in treatment effects (UHTE). We start by discussing why UHTE ...
Reflection was essential to the advanced Java toolkit for years. Now it's being superseded by newer, safer options. Here's how to use MethodHandle and VarHandle to gain programmatic access to methods ...
ABSTRACT: This study assesses the effects of migrant remittances on inclusive growth in Africa. We applied the ordinary least squares method on a sample of 48 countries in Africa with daily data from ...
ABSTRACT: This article examines the effect of structural transformation on the growth of sub-Saharan African economies. Thus, from a sample of 46 countries observed over the period 1995-2020, we ...
How to Set Temporary Environment Variables in Linux (+Video Tutorial) Your email has been sent In Jack Wallen's tutorial for developers, he show how easy it is to set temporary environment variables ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results