<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Causal Mediation | Chenzhu Wang</title><link>https://chenzhuwang.com/tags/causal-mediation/</link><atom:link href="https://chenzhuwang.com/tags/causal-mediation/index.xml" rel="self" type="application/rss+xml"/><description>Causal Mediation</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://chenzhuwang.com/media/icon_hu7729264130191091259.png</url><title>Causal Mediation</title><link>https://chenzhuwang.com/tags/causal-mediation/</link></image><item><title>From prediction to explanation: A machine learning and causal mediation framework for roadway crash risk with connected vehicle data</title><link>https://chenzhuwang.com/publication/journal-article/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://chenzhuwang.com/publication/journal-article/</guid><description>&lt;p>This paper represents the connected-vehicle and causal-explainability line of work: predictive safety models are paired with causal mediation analysis so the model output can be translated into interpretable crash-risk mechanisms.&lt;/p></description></item></channel></rss>