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Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-level Opioid Policies on Opioid-related Mortality

Beth Ann GriffinMegan S. SchulerElizabeth StuartStephen PatrickElizabeth McNeerRosanna SmartDavid PowellBradley SteinTerry L. SchellRosalie Liccardo Pacula

出版	National Bureau of Economic Research, 2020
URL	http://books.google.com.hk/books?id=L_B40AEACAAJ&hl=&source=gbs_api

註釋

Over the last two decades, there has been a surge of opioid-related overdose deaths resulting in a myriad of state policy responses. Researchers have evaluated the effectiveness of such policies using a wide-range of statistical models, each of which requires multiple design choices that can influence the accuracy and precision of the estimated policy effects. This simulation study used real-world data to compare model performance across a range of important statistical constructs to better understand which methods are appropriate for measuring the impacts of state-level opioid policies on opioid-related mortality. Our findings show that many commonly-used methods have very low statistical power to detect a significant policy effect (