<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Causal Inference on Dr. Gabriel J. Merrin | Syracuse University</title><link>https://gabrieljmerrin.rbind.io/tags/causal-inference/</link><description>Recent content in Causal Inference on Dr. Gabriel J. Merrin | Syracuse University</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>&amp;copy; {year}</copyright><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://gabrieljmerrin.rbind.io/tags/causal-inference/index.xml" rel="self" type="application/rss+xml"/><item><title>Navigating unmeasured confounding in nonexperimental psychological research: A practical guide to computing and interpreting e-value (Student-led research)</title><link>https://gabrieljmerrin.rbind.io/publication/bi-merrin-2025-thinking/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://gabrieljmerrin.rbind.io/publication/bi-merrin-2025-thinking/</guid><description>&lt;p>This paper provides a practical guide to navigating unmeasured confounding in nonexperimental psychological research. The authors demonstrate how to compute and interpret the e-value as a sensitivity analysis tool, offering applied researchers a transparent framework for evaluating the robustness of causal inferences.&lt;/p>
&lt;p>&lt;strong>Student-led research&lt;/strong> - This publication was led by a student researcher.&lt;/p></description></item></channel></rss>