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Before-After Studies Part I

This document covers various aspects of before-after studies, particularly in the context of traffic research. It discusses different study types, including those with and without control groups, and highlights the implications of selection bias and regression to the mean. Additionally, the paper introduces the Empirical Bayes and Full Bayes approaches. Key issues such as the non-linear relationship between crashes and traffic flow are addressed, providing insights into the complexities of analyzing traffic safety data.

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Before-After Studies Part I

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    1. Before-After Studies Part I Fall 2010

    2. Types of studies Nave before-after studies Before-after studies with control group Empirical Bayes approach (control group) Full Bayes Important Issues Selection bias Regression-to-the-mean Non-linear relationship between crashes and traffic flow BEFORE-AFTER STUDIES

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